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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Yes, you can access Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms by Lakhmi C. Jain, N.M. Martin, Lakhmi C. Jain,N.M. Martin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

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Publisher

Year

Print ISBN

eBook ISBN

Topic

Subtopic

Index

Cover
Series Page
Title Page
Copyright Page
Preface
Table of Contents
Chapter 1 Introduction to Neural Networks, Fuzzy Systems, Genetic Algorithms, and their Fusion
Chapter 2 A New Fuzzy-Neural Controller
Chapter 3 Expert Knowledge-Based Direct Frequency Converter Using Fuzzy Logic Control
Chapter 4 Design of an Electro-Hydraulic System Using Neuro-Fuzzy Techniques
Chapter 5 Neural Fuzzy Based Intelligent Systems and Applications
Chapter 6 Vehicle Routing through Simulation of Natural Processes
Chapter 7 Fuzzy Logic and Neural Networks in Fault Detection
Chapter 8 Application of the Neural Network and Fuzzy Logic to the Rotating Machine Diagnosis
Chapter 9 Fuzzy Expert Systems in ATM Networks
Chapter 10 Multimedia Telephone for Hearing-Impaired People
Chapter 11 Multi-Objective Evolutionary Algorithms in Gas Turbine Aero-Engine Control
Chapter 12 Application of Genetic Algorithms in Telecommunication System Design
Index

About this book

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Table of contents