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

Lakhmi C. (University of South Australia Jain

ISBN 10: 0849398045 / ISBN 13: 9780849398049

Edité par Taylor & Francis Inc Nov 1998, 1998

A propos de cet article

Neuware - 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.

N° de réf. du vendeur 9780849398049

Détails bibliographiques

• Titre: Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms : Industrial Applications
• Éditeur: Taylor & Francis Inc Nov 1998
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 0849398045
• ISBN à 13 chiffres: 9780849398049
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Jain, Lakhmi C.; Martin, N.M.