Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications

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Lakhmi C. Jain, N.M. Martin
CRC Press, 17 нояб. 1998 г. - Всего страниц: 368
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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    Introduction to Neural Networks Fuzzy
    A New FuzzyNeural Controller
    Expert KnowledgeBased Direct Frequency
    Design of an ElectroHydraulic System Using
    Neural Fuzzy Based Intelligent Systems and
    Vehicle Routing through Simulation of Natural
    Fuzzy Logic and Neural Networks in Fault
    Application of the Neural Network and Fuzzy
    Fuzzy Expert Systems in A TM Networks
    MultiObjective Evolutionary Algorithms in Gas
    Application of Genetic Algorithms in
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