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 and telecommunications systems design. TOC:Introduction to Knowledge-Based Engineering. A New Fuzzy-Neural Controller. Expert Knowledge-Based Direct Frequency Converter Using Fuzzy Logic Control. Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques. Neural Fuzzy Based Intelligent Systems and Applications. Vehicle Routing through Simulation of Natural Processes. Fuzzy Logic and Neural Networks in Fault Detection. Application of the Neural Network and Fuzzy Logic to the Rotating Machine Diagnosis. Fuzzy Expert Systems in ATM Networks. Multimedia Telephone for Hard Hearing People. Multiobjective Evolutionary Algorithms in Gas Turbine Aero-Engine Control. Application of Genetic Algorithms in Telecommunication System Design.