Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms (inbunden)
Fler böcker inom
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
362
Utgivningsdatum
1998-11-01
Förlag
CRC Press Inc
Medarbetare
Thangiah, Sam R. (contributions)/Khan, Emdad (contributions)/Fukuda, Toshio (contributions)/Shimojima, Koji (contributions)/Wiechmann, E. (contributions)/Burgos, R. (contributions)/Costa Branco, P.J. (contributions)/Dente, J.A. (contributions)/Thangiah, Sam R. (contributions)/Khan, Emdad (contributi
Illustrationer
17 Tables, black and white
Dimensioner
241 x 162 x 24 mm
Vikt
640 g
Antal komponenter
1
Komponenter
Contains 4 hardbacks
ISBN
9780849398049

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Industrial Applications

av Lakhmi C Jain, N M Martin
Inbunden,  Engelska, 1998-11-01
3026
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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.
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Lakhmi C Jain, N M Martin

Övrig information

Jain, Lakhmi C.; Martin, N.M.

Innehållsförteckning

Preface Introduction to Knowledge-Based Engineering, N.M. Martin and L.C. Jain, Australia A New Fuzzy-Neural Controller, K. Shimojima and T. Fukuda, Japan Expert Knowledge-Based Direct Frequency Converter Using Fuzzy Logic Control, E. Wiechmann and R Burgos, Chile Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques, P.J. Costa Branco and J.A Dente, Portugal Neural Fuzzy Based Intelligent Systems and Applications, E. Khan, United States Vehicle Routing through Simulation of Natural Processes, J.-Y. Potvin, Canada and S.R. Thangiah, United States Fuzzy Logic and Neural Networks in Fault Detection, B. Koppen-Seliger and P.M. Frank, Germany Application of the Neural Network and Fuzzy Logic to the Rotating Machine Diagnosis, M. Tanaka, Japan Fuzzy Expert Systems in ATM Networks, C. Douligeris and S. Palazzo, Italy Multimedia Telephone for Hard Hearing People, F. Lavagetto, Italy Multiobjective Evolutionary Algorithms in Gas Turbine Aero-Engine Control, A. Chipperfield, P. Fleming, and H. Betteridge, United Kingdom Application of Genetic Algorithms in Telecommunication System Design, V. Sinkovic, I. Lovrek, and B. Mikac, Croatia

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