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Undergraduate Courses

E1034 Basic Concepts of Computer Science (2/2)  This course gives a basic introduction of computer science. We start from the binary system. And the main hardware components of computer system such as CPU, Memory, and I/O devices are described. Next, the software system and the programming language -- VB and C/C++ are introduced. In the programming languages, we focus on the modern programming methods -- structured, modularized, object oriented and visualized. Some techniques such as conditional statement, loop statement, and structure/classes are illustrated in this course.


E0902 Logic Design (0/2)  Introduction number systems and conversion, boolean algebra, algebraic simplification, applications of boolean algebra, Karnaugh maps, Quine-McCluskey method, multi-level gate networks NAND and NOR gates, multiple-output networks.


S0439 Linear Algebra (3/0)  Introduction to the fundamentals of linear algebra, such as systems of linear equations and matrices, determinants, vector space, inner product spaces, eigenvalues, eigenvectors, and linear transformations.


E0722 Circuits Theory (3/3)  Electric circuit analysis to solve circuits in the time, phaser, and frequency domain in conjunction with computer-aided analysis.


E0034 Engineering Mathematics (3/3)  (1) Ordinary differential equations of the first order,     (2) linear ordinary differential equations of the second order, (3) Laplace transforms, (4) series solution of ordinary differential equations, and special functions, (5) higher order ordinary differential equations, (6) matrix analysis, (7) vector analysis, (8) Fourier series and integrals, Fourier transforms, (9) partial differential equations, (10) complex variables, (11) transforms, (12) digital signals and differential equations.


S0338 Electromagnetics (0/3)  Vector analysis, Coulomb's law, Gauss's law, static fields in conditions and dielectrics, polarization, boundary conditions, capacitance calculation, static electric energy and force, Poison's and Laplace's equations, methods of images, boundary value problems, steady current and Ohm's law, resistivity calculation, Biot-Savart's law, Ampere's circuits, magnetic dipoles, magnetization, magnetic circuits, boundary conditions inductance calculation, static magnetic energy and force.


E0671 Computer Engineering Applications I (2/0)  Study of the INTEL 8086-family assembly language programming, including an introduction to computer organization, addressing modes, various instructions and their applications, and program design and debugging. Prerequisite: Introduction to Computers.


E0671 Computer Engineering Applications II (2/0)  Study of numerical analysis, including errors, polynomial interpolation, solution to nonlinear equations, numerical integration, numerical differentiation, numerical linear algebra, computations of matrix eigenvalues, and curve fitting.


E0650 Data Structures (3/0)  Study of data structures, including stacks, recursion, queues, lists, trees, sorting, searching, and graphs. Prerequisite: Introduction to Computers and C Language Programming.


E0760 Digital Systems Design (2/0)  Based on the previous learning of logic design, principles and hardware, design of digital computers and microprocessor-based logic systems are introduced.


E0961 Electronics (3/3)  Electronics I is devoted to the study of electronic devices and basic circuits. It starts with a concise introduction to semiconductors and PN junction. Then the bipolar junction transistor (BJT) and the MOS transistors are introduced. Electronics II starts with the study of digital electronics. Both MOS digital circuit and bipolar digital are included. Then we study the differential amplifier, in both bipolar and MOSFET forms. Electronics III deals with more advanced topics in amplifier design.


E0479 Control Systems (0/3)  Introduction to the analysis and design of control systems from the time-domain and frequency-domain approaches.


E1400 Industrial Control Systems Technology (0/3)  Introduction to industrial control system technology, this includes the concepts, principles, procedures, and computations used by engineers, and technicians to select, analyze, specify, design and maintain all parts of a control system. Emphasis is on the application of established industrial control systems.


S0338 Electromagnetics II (3/0)  Faraday's law, electromagnetic induction, Maxwell's equations, electric and magnetic potentials in time-varying fields, boundary conditions, wave equation and its solution, propagation of uniform plane waves in different media, time-harmonic fields, Doppler effect, propagation of electromagnetic energy, Poynting's theorem, normal and oblique incidences on different interfaces, parallel and perpendicular polarizations.


S0058 Semiconductor Physics (3/0)  Solid state is the foundation of modern material science and semiconductor electronics. The course is designed to familiarize students with fundamental principals of solids such as, crystal structure, thermal properties, band theory, electronic properties, optical properties, etc.


E0632 Introduction to Microprocessor (0/3)  Study of software and hardware architectures of the INTEL microprocessors, including software architectures under the protected mode, advanced assembly language programs, memory interface, I/O interface, interrupts and direct memory access. Prerequisite: Computer Engineering Applications I or the INTEL 8086-family Assembly Language Programming.


E1042 Testing Systems Analysis  Semiconductor devices are the key building blocks of modern-day electronics, including ultra-large scale integration circuits. This course gives a general introduction to semiconductor devices, including pn junction diode, bipolar transistor, JFET and MESFET, and MOSFET. The course is designed for junior undergraduate students who have taken a course in fundamental semiconductor physics or its equivalent.


E0634 Microprocessor Applications (2/0)  Emphasis on the design of microprocessor-based systems at the board level. Detailed study of the microprocessor interface to memory and other devices. Includes microprocessor bus transfers, memory system design and interfacing, industry system buses, and microprocessor caches and MMUs.


E0668 Electronic Materials (0/2)  Quantum statistics, crystal structures, thermal properties of materials, band theory of solids, thermoelectricity, polarization factors of dielectric materials, magnetism of materials, magnetic properties of materials, ferromagenetic materials, ferrimagnetic materials.


E0531 Communication Systems (3/0)  Generalized Fourier series, Fourier transform, sampling theory Hilbert transform, linear modulation (AM, dsb, ssb), angle modulation (FM, PM), pulse modulation, multiplexing, probability and random variables, random process and noise, signal-to-noise ratios, noise in modulation system.


E0122 Semiconductor Devices (0/3)  Semiconductor devices are the key building blocks of modern-day electronics, including ultra-large scale integration circuits. This course gives a general introduction to semiconductor devices, including PN junction diode, bipolar transistor, JFET and MESFET, and MOSFET. The course is designed for junior undergraduate students who have taken a course in fundamental semiconductor physics or its equivalent.


S0337 Electromagnetic Waves (0/2)  Maxwell's equations, propagation of electromagnetic wave, transmission line equations, characteristics of transmission lines, reflection and transmission coefficients, standing wave ration, Smith chart, impedance matching, microstrips and digital transmission lines, rectangular waveguides, TE and TMmodes, circular waveguides, resonators, optical and dielectric waveguides, parameters and characteristics of antennas, dipole and slot antennas, broad band and array antennas.


E1285 Signals and Systems (0/3)  The object of this course is to present the technologies of analyzing linear systems. Primary emphasis on Fourier transform, Laplace transform and Z-transform.


E0534 Communication Electronics (0/2)  The object of this course is to present a study of digital communications. Primary emphasis on basic pulse modulation, base band pulse transmission, digital passband transmission, error correcting codes, and information theory.


E0756 Image Processing (0/2)  Introduction to digital image processing. Primary emphasis on discrete image mathematical characterization, image quantization, image enhancement, image restoration models, geometrical image modification, morphological image processing, edge detection, image feature extraction, image segmentation, shape analysis, image detection and registration.


E2141 Real-time System Software Design (0/3)  Study of the design and implementation of real-time systems especially to meet the requirements of hard real-time applications. Topics includes the survey of typical real-time Systems; the design, implementation, verification, and testing of real-time systems. Both the application level and the system level views are taken.


E1283 Electronics Lab  Basic equipment, RC circuits and SPICE, semiconductor diodes and their applications, BJT and their applications, FET and their applications, power amplifier, etc.


E1200 Fuzzy Theory (0/2)  Introduction to fuzzy set, fuzzy relation, fuzzy logic, fuzzy inference and their applications.


S0522 Optical Fiber Communication  An introduction to optical fiber communications. Primary emphasis on optical fibers, signal degradation in optical fibers, optical sources, power launching, power coupling, photo detectors, optical receiver operation, digital transmission systems, analog systems, coherent optical fiber communications, advanced systems and techniques.


E1261 Fiber Devices  Principle of semiconductor lasers, modulation dynamics, single frequency lasers, fundamental AM and FM noise properties, linewidth, tunable semiconductor lasers, quantum well lasers, electrooptic modulators and switches, detectors, integrated optoelectronic circuits, optical amplifiers-semiconductor and erbium fiber, low coherence sources-superluminescent diodes, tunable optical filters.


M0562 LAN (Local Area Network) (0/2)  This course covers two major types of networks, a brief concept on network design, different cabling, a basic knowledge of the function of a network card, a brief concept on OSI and 802 networking models, what protocol is, a basic knowledge on access method on the network, the network architectures.


E0505 Introduction to Parallel Processing (0/2)  Exploring topics in parallel processing in a multiprocessor system, including interconnection networks; mapping processes to processors and scheduling; parallel programming languages, techniques, and environments.


E0926 Advanced Digital Systems Design (0/2)  Digital signal processing, digital VAX station, digital communication, digital modulation, digital communication systems, baseband digital communications.


E0908 Communication Coding  Fundamental concepts of information theory with applications to digital communications. Entropy, information, and data compression; noisy compression (rate distortion theory); channel capacity; block and convolutional codes and decoding algorithms.

Master’s Program

T1196 Seminar I (1/0)


T1196 Seminar II (0/1)


E1318 Digital Circuit Testing (0/3)  This course introduces the methods to efficiently test vary large scale IC (VLSI). Here, we first illustrate some common fault models. Based on the models, fault simulation and test (pattern) generation (TG) are introduced. Next, some advanced techniques -- design for testability (DFT) and built-in self-test (BIST) are given in this course. Finally, some special topics such as memory testing, intelligent property (IP) testing and system-on-a-chip (SOC) testing are given.


E0424 Advanced Engineering Mathematics (3)  Mathematical models, computer graphics, boundary-value problems and characteristic function representation, Sturm-Liouville eigenvalue problems, Rayleigh quotient, solution of partial differential equations of engineering science, nonhomogeneous problems, methods of eigen-function expansion, the Dirac delta function and its relationship to Green’s function, Green’s functions for ordinary differential equations, Green’s functions for partial differential equations ; Calculus of variations, the Euler-Lagrange Equation, Hamilton Principle, Application to problems from Continuum mechanics, the Rayleigh Ritz method.


El185 VLSI Design (3/0)  Description of the design methodology and MOS circuit concepts to the design of CMOS VLSI circuits. The overall emphasis is on the VLSI design concepts, environments and circuit optimizations. CMOS technology and devices are also shown.


E1390 Analog IC Design (3/0)  The contents of this course involve those of operational amplifier, comparator, Filter, ADC and DAC. Case studies will be given in this course; some basic circuits and sub systems will be designed, fabricated, and measured.


E1063 Parallel Processing (0/3)  Study of various parallel computer architectures. Topics include interconnection networks; pipeling and supersealar techniques; multiprocessors and multicomputers; multi-vector and SIMD computers; scalable, multithreaded and data flow architectures; and parallel program


E1185 Digital IC Design (0/3)  Discusses the design methodology and circuit concepts of high performance MOS/bipolar /biCMOS digital integrated circuits. The design optimizations and applications of various new digital integrated circuits are also described.


E1060 Computer-Aided Simulation (0/3)  Using various circuit analysis programs to analyze electric and electronic circuits for transient, DC, AC, and Fourier analysis. Also printed-circuit boards layout.


E1496 Fuzzy Control (0/3)  This course includes the following topics: fuzzy sets; operations on fuzzy sets; fuzzy relation and extension principle; fuzzy logic and fuzzy inference; fuzzy systems and their properties; and fuzzy controller.


E1497 Speed and Position Control of Induction Motor (0/3)  This course attempts to unify the treatment of vector control of induction motor drives using the concepts of general flux orientation and the feed forward and feedback voltage and current vector control. The new concept of torque vector control is also introduced and applied to all ac motors.


E0764 Digital Control (0/3)  General introduction to digital control systems; time-domain and z-domain analysis; frequency domain analysis of digital control, emphasis is placed on PID controller, phaselead and phase-lag controller; Dead best response design.


E1370 Advanced Linear Systems (0/3)  This course is intended as a one semester fundamental course in linear systems. It's a 3 hour and 3 credit course for graduate students. The only prerequisite for studying this course is a course in ordinary differential equations. It's not necessary for the student to have had a course in linear systems, though it is perhaps helpful to have an understanding of the concept of the state of a system.


E0938 Optimal Control (0/3)  It is usual to minimize the time of transit, or a quadratic generalized energy functional or performance index, possible with some constraints on the allowed control. Pontryagin's maximum principle, which solved optimal control problem relying on the calculus of variation, and Bellman's dynamic programming to the optimal control will be covered.


E1389 Intelligent Control (0/3)  Introduction to new aspects of self-learning control structure. Neural networks in conjunction with fuzzy decision logic are presented as key enabling technologies to achieve a higher control performance.


E1392 Mobile Communication Systems (0/3)  The purpose of this course is to initiate mobile communication system. Technical concepts are presented in an order that is conducive to understanding general concepts, as well as those specific to particular cellular and personal communication systems and standards.


E0762 Digital Signal Processing (0/3)  Basic digital signal processing techniques for estimation and detection of signals in communication and radar systems. Optimization of dynamic range, quantization, and state constraints; DFT, convolution, FFT, NTT, Winograd DFT, systolic array; spectral analysis-windowing, AR, and ARMA; system applications.


E1391 Electromagnetic Theory (0/3)  Generalized Maxwell's equation, EM boundary value problem, Green's function, eigenfunctions expansion techniques, Conservation of EM energy, EM radiation from simple sources, general EM field, Hertzian potentials, Dyadic Green functions.


E1316 Coding Theory (0/3)  Fundamental bounds of Shannon theory and their application. Source and channel coding theorems. Galois field theory, algebraic error-correction codes. Private and public-key cryptographic systems.


E0442 Advanced Computer Architecture (0/3)  This course is to introduce the computer architecture. First we would like to tell how to find the performance of a computer quantitatively. The instruction set is described. Pipelining, memory-hierarchy design, storage systems, interconnection networks and multiprocessors are very important in the computer architecture, and they are introduced systematically. The students who take this course will have the basic background of the modern computer.


E0349 Computer Algorithms (0/3)  Computer algorithm is one of the most important topics for researchers in this field. This course will offer students solid background in algorithm designs and analysis skills.


E1393 Knowledge Engineering (0/3)  The objective of this course is to present how a neural network can serve as the knowledge base for an expert system.


E1394 Integrated Circuit Design for Communications (0/3)  This course includes the topics: IC devices and modeling, processing and layout, current mirrors, noise analysis and modeling. Advanced current mirrors, comparator, sample and hold, voltage reference, switched capacitor circuits, D/A and A/D converter, Discrete and Continuous Filter Design, PLL circuit, and oversampling converter.


E2134 Signal Modulation Systems and Detection (0/3)  This is a first level graduate course in digital communications. The course covers digital modulation techniques including estimation and detection theories. Studies include BPSK, FSK, NFSK, QPSK, OQPSK, MSK, DPSK signaling schemes in AWGN environment, performance and power


E1762 Digital Signal Processing (0/3)  First, it introduces the background of discrete time signal processing, include z. transform, difference equation and filter design. The main topic of this class is discrete flowerier transform and its application as cepstral analysis and homomophic signal processing.


E1011 Digital Speech Processing (0/3)  (1) Discrete-time (DT) signals and systems, (2) Sampling theorem and sampling rate conversion, (3) Z transform, (4) DTFT, DFS, DFT and FFT, (5) DT LTI systems: difference equations, frequency responses, signal flow graphs, and some important properties, (6) Digital filter design fundamentals.


E1093 Neural Network  The object of this course is to present a study of artificial neural networks. Primary emphasis is on basic structures of neural networks, learning algorithms and applications.


E0773 Pattern Recognition (0/3)  Pattern recognition is concerned with the classification of objects into categories, especially by machine. Key techniques of statistical pattern recognition are first introduced. Then we will introduce how to apply neural networks in pattern recognition.


E1787 Computer Network Security (0/3)  Experts in network security are urgently required. The purpose of this course is to introduce the fundamental technique and standards of network security. Through the opening of this course, we aim to offer the students a basic skill and knowledge in this area.


E1490 Technical Writing (0/1)  The purpose of this course is to provide students with a fundamental ability to write a technical paper in English. The contents are outlined in the following: (1) the grammar of clarity; (2) the sources of wordiness; (3) controlling sprawl; (4) sustaining the longer sentence; (5) sentences in context.


E1015 Digital Filter Design (0/3)  This course provides a broad introduction to the field of digital filter design and signal processing. Material covered includes concept of z-transform, state-space representation and structures. Cascade and parallel form structure and implementation. IIR and Fir design principles.


E1442 ELECTRICAL Teaching Practice (1/1)  This course offers teacher training in EE areas. Actual teaching is practiced at the undergraduate level to help refine a trainee's professional fluency.


E1640 Scattering Theory of Electromagnetics (0/3)  This course is designed to introduce the geometrical theory of diffraction (GTD) and the physical theory of diffraction(PTD). The GTD is an extension of the classical geometrical optics (GO), and it overcomes some of the limitations of geometrical optics by introducing a diffraction mechanism. The PDT extends physical optics to provide corrections that are due to diffraction at the edges of conducting surfaces.


E1624 High Speed Computer Networks (0/3)  This course introduces the technologies of high-speed networks. Three main topics are covered in this course. The first part introduces the basic operations in traditional local area networks. The second part describes the operations of high-speed networks. The last part introduces the inter-networking technologies.


E1737 Speech Processing (0/3)  This class provides an introduction to the area of speech processing and processing and digital model of speech first. Then, time domain method and spectral representation in speech processing is introduced. Finally, the topic of linear coding and a discussion of several speech processing systems in the area of man-machine communication by voice are included.


E1746 Introduction to Statistical Communication  This course includes the following topics: detection theory, detection of signal in noise, estimation theory, estimation of waveforms, further topics in detection and estimation, application, miscellaneous applications, random variable, simulation and reliability theory.


E2329 Mobile Communication System (0/3)  This course includes the following topics: the mobile radio signal environment, statistical communications theory, path loss over flat terrain, path loss over hilly terrain and general methods of prediction, effects of system RF design on propagation, received-signal envelope characteristics, received-signal phase characteristics, modulation technology, diversity schemes, combining technology, signal processes, interference problems, signal-error analysis versus system performance, voice-quality analysis versus system performance.


E1742 Computer Controlled Systems (0/3)  The purpose of this course is to present control theory that is relevant to the analysis and design of a computer-controlled system, with an emphasis on basic concepts and ideas. The goal of the course is to give a good foundation for design of computer-controlled systems.
Ph.D. Program

E0773 Pattern Recognition (3/0) In the course to teach the basic idea of patent, can help us in the future have basic cognition of legal questions and securities in the study for develop products. Now, there are a lot of countries set up and execute the patent system and license. A lot of foreign buyers, especially American buyers who ask local factories or sellers to prove the intellectual property rights of their products to protect they won’t get the lawsuit of tort.


E1744 Digital Circuits Testing and Diagnosis (3/0)  This course covers tell the basic concept of the testing of digital circuits and systems. Fault modeling and logic simulation are introduced first. Fault modeling is the fundamental of this course, therefore, we concentrate on this topic. Testing for single stuck faults is another important topic of this course. The ATG, such as D-algorithm, 9-V, PODEM, and FAN, is described. The students who take this course learn how to generate the test patterns of a digital circuit.


E2088 Wavelet Theory (3/0)  This course describes the fundamental of wavelet, and the application. The application includes image data compressing signal processing, and communication application.


E2325 Fractal Image (3/0)  The most popular "fractal-based" algorithms for both the representation as well as the compression of computer images have involved some implementation of the method of Iterated Function Systems (IFS) on complete metric spaces, e.g. IFS with probabilities (IFSP), Iterated Fuzzy Set Systems (IFZS), Fractal Transforms (FT), the Bath Fractal Transform (BFT) and IFS with grey-level maps (IFSM). (FT and BFT are special cases of IFSM.) The "IFS component" of these methods is a set of N contraction maps {w_1, w_2,...,w_N}, w_i X -> X, over a complete metric space (X,d), the "base space" which represents the computer screen.


E2331 Wireless Communication Systems (3/0)  The objective of the course is to enable participants to obtain a thorough understanding of simulation-based design and analysis of wireless communication systems, sufficient to prepare them for developing or improving their own simulations, or to be able to evaluate the capabilities of commercially available packages.


E2337 Special Topics in Digital Signal Processing (3/0)  DSP has been a research topic in the Department of Electronic and Electrical Engineering since 1973. The principal research areas are DSP for data communications, speech and image processing, and biomedical signal processing. The approach adopted by the group is to strike a balance between directed fundamental research and applied research.


E1738 Broadband ISDN (3/0)  This course includes the topics: introduction of ATM, transfer modes, ATM standards, broadband ATM switching, impact of ATM on terminals and services, ATM LAN layer, traffic control in ATM networks, strategies for ATM.


E1739 Fault-Tolerant System Design (3/0)  This course covers the design and analysis of fault-tolerant systems, including the survey of fault-tolerant computer architectures and some case studies. Experimental analysis of computer system dependability, reliability estimation, system diagnosis and fault-tolerant software are also covered.


E1740 Adaptive Control (3/0)  This course will introduce graduate students into the state-of-the-art design methods of adaptive control, and their limitations. Topics include: parametric models, parameter identifiers and algorithms: SPR-Lyapunov, gradient, least-squares; Persistence of excitation; Adaptive observers, Certainty equivalence principle, Model reference adaptive control, Indirect adaptive control: pole placement, polynomial approach, LQR; Robustification: parameter drift, leakage, projection, dead-zone, dynamic normalization; Adaptive nonlinear control: tuning functions and modular design, Extremum seeking.


E1851 Paper Writing Technique (3/0)  Once the target skill areas and means of implementation are defined, the teacher can then proceed to focus on what topic can be employed to ensure student participation. By pragmatically combing these objectives, the teacher can expect both enthusiasm and effective learning.


E2062 Digital TV Technology (3/0)  Digital Television (DTV) has different meanings depending on whether you're discussing production and post-production or distribution and transmission. For production and post-production it means using digital production tools such as cameras, VTRs, switchers, disk recorders, CGs, etc. In distribution and transmission, it means sending the audio and video digitally to its destination.


E2073 Mircoelectronics (3/0)  (1) VLSI Technology, (2) Operational/Wideband Amplifiers, (3) Active Filters, (4) Sample-and-hold Circuits, (5)DAC/ADC Converters, (6) Distortion in Amplifiers and Its Reduction, (7) Mixers/Multipliers/VGA/Phase Detectors, (8) Signal Generators.


E2077 The Third Generation Wireless Communication System(3/0)  The wireless communication landscape is changing dramatically - driven by the rapid growth in Internet information services and by the appearance of new multimedia applications. The emerging 3rd-generation cellular networks will soon support data rates from 64 kb/s (vehicle speeds) to 384 kb/s (walking), and eventually up to 2 Mb/s (stationary, hot-spot cells), which allow a variety of high-speed mobile data and multimedia services.


E1659 VLSI Technology (0/3)  In this course we will study the principles and design of VLSI circuits. The content of this course is composed of four parts, the principles of CMOS circuits, the structures of VLSI circuits, the architecture of VLSI Systems, and VLSI design methodology. In additional to the circuits and systems, we will also cover some CAD tools for the design of VLSI circuits, such as Verilog for simulation and Cadence OPUS Design System for schematic entry, symbolic layout, polygon layout, module generation, design rule checking, and system integration.


E1741 Image Analysis (0/3)  Image analysis deals with the processing and analysis of images. We first introduce basic image processing techniques and then techniques suitable for image analysis will be fully discussed.


E1743 High Speed Optic Networks (0/3)  This course will include the topics: light sources, optical fibers, light detection noise in optical communications, incoherent detection, TDMA, WDMA, SCM, photonic switching, direct modulation, DFB laser, external modulation, coherent detection, optical amplifier, optical fiber soliton transmission.


E1849 Adaptive Signal Processing (0/3)  Introduces some practical aspects of signal processing, and in particular adaptive systems. Current applications for adaptive systems are in the fields of communications, radar, sonar, seismology, navigation systems and biomedical engineering. This course will present the basic principles of adaptation, will cover various adaptive signal processing algorithms (e.g., the LMS algorithm) and many applications, such as adaptive noise cancellation, interference canceling, system identification, etc.



E1850 Analog Circuit Design (0/3)  This course provides tutorial information on custom CMOS (complimentary metal oxide semiconductor) analog circuit design. Emphasis is placed on the practical implementation of analog CMOS integrated circuits (Ics). An electrical or computer engineering background with fundamental knowledge in the area of MOSFET operation, linear circuits, and engineering electronics is required.


E2227 Soft Computing (0/3)  Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost.


T8000 Thesis (6/0)
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