Cover image for Fusion of neural networks, fuzzy sets, and genetic algorithms : industrial applications
Fusion of neural networks, fuzzy sets, and genetic algorithms : industrial applications
Jain, L. C.
Publication Information:
Boca Raton : CRC press, [1998]

Physical Description:
354 pages : illustrations ; 25 cm.
Introduction to neural networks, fuzzy systems, genetic algorithms, and their fusion / N.M. Martin and L.C. Jain -- A new fuzzy-neural controller / K. Shimojima and T. Fukuda -- Expert knowledge-based direct frequency converter using fuzzy logic control / E. Wiechmann and R. Burgos - Design of an electro-hydraulic system using neuro-fuzzy techniques / P.J. Costa Branco and J.A. Dente -- Neural fuzzy based intelligent systems and applications / E. Kahn -- Vehicle routing through simulation of natural processes / J.-Y. Potvin and S.R. Thangiah -- Fuzzy logic and neural networks in fault detection / B. Köppen-Seliger and P.M. Frank -- Application of the neural network and fuzzy logic to the rotating machine diagnosis / M. Tanaka -- Fuzzy expert systems in ATM networks / C. Douligeris, and S. Palazzo -- Multimedia telephone for hearing-impaired people / F. Lavagetto - Multi-objective evolutionary algorithms in gas turbine aero-engine control / A. Chipperfield, P. Fleming, and H. Betteridge -- Application of genetic algorithms in telecommunication system design / V. Sinkovic, I. Lovrek, and B. Mikac.
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Central Library QA76.87 .F87 1999 Adult Non-Fiction Central Closed Stacks

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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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