Comprises 12 contributions which demonstrate the advantages of fusion techniques in industrial applications. Topics include the design of a fuzzy-neural controller, fuzzy control, evolutionary computing techniques in modern engineering systems. Specific applications presented include direct frequency converters, speech recognition, fault diagnosis, telephones for hearing-impaired people, and control of gas turbine and aero-engines. Annotation c. by Book News, Inc., Portland, Or.
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design.
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another.
This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include:
direct frequency converters
electro-hydraulic systems
motor control
toaster control
speech recognition
vehicle routing
fault diagnosis
Asynchronous Transfer Mode (ATM) communications networks
telephones for hard-of-hearing people
control of gas turbine aero-engines
telecommunications systems design
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
Chapter 1 Introduction to Neural Networks, Fuzzy Systems, Genetic Algorithms, and their Fusion 1(12) N.M. Martin L.C. Jain, Australia
Chapter 2 A New Fuzzy-Neural Controller 13(18) K. Shimojima T. Fukuda, Japan
Chapter 3 Expert Knowledge-Based Direct Frequency Converter Using Fuzzy Logic Control 31(36) E. Wiechmann R. Burgos, Chile
Chapter 4 Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques 67(38) P.J. Costa Branco J.A. Dente, Portugal
Chapter 5 Neural Fuzzy Based Intelligent Systems and Applications 105(36) E. Khan, U.S.A.
Chapter 6 Vehicle Routing through Simulation of Natural Processes 141(28) J.-Y. Potvin, Canada S.R. Thangiah, U.S.A.
Chapter 7 Fuzzy Logic and Neural Networks in Fault Detection 169(42) B. Koppen-Seliger P.M. Frank, Germany
Chapter 8 Application of the Neural Network and Fuzzy Logic to the Rotating Machine Diagnosis 211(18) M. Tanaka, Japan
Chapter 9 Fuzzy Expert Systems in ATM Networks 229(26) C. Douligeris, U.S.A. S. Palazzo, Italy
Chapter 10 Multimedia Telephone for Hearing-Impaired People 255(40) F. Lavagetto, Italy
Chapter 11 Multi-Objective Evolutionary Algorithms in Gas Turbine Aero-Engine Control 295(26) A. Chipperfield P. Fleming H. Betteridge, U.K.
Chapter 12 Application of Genetic Algorithms in Telecommunication System Design 321(30) V. Sinkovic I. Lovrek B. Mikac, Croatia Index 351
Jain, Lakhmi C.; Martin, N.M.
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