
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms
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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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