In a succinct, well-illustrated, and non-mathematical presentation, this book integrates neural net, fuzzy system, and evolutionary computing in system design in a way that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. It presents specific projects where fusion techniques have been appl

Editors: Lakhmi C. Jain, N.M. Martin

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