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This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discret

Neural networks (Computer science) --- Computer architecture. --- Architecture, Computer --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Réseaux neuronaux (informatique) --- Réseaux neuronaux (informatique)

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Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical statistics --- Adaptive signal processing --- Machine learning --- Neural networks (Computer science) --- Fuzzy systems --- Traitement adaptatif du signal --- Apprentissage automatique --- Réseaux neuronaux (Informatique) --- Systèmes flous --- #TELE:SISTA --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Learning, Machine --- Machine theory --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Signal processing, Adaptive --- Signal processing --- Adaptive signal processing. --- Fuzzy systems. --- Machine learning. --- Neural networks (Computer science). --- Réseaux neuronaux (Informatique) --- Systèmes flous

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Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.

Intelligent control systems. --- Fuzzy logic. --- Neural networks (Computer science) --- Genetic algorithms. --- Commande intelligente --- Logique floue --- Réseaux neuronaux (Informatique) --- Algorithmes génétiques --- Neural networks (Computer science). --- 9999 --- Scientific Output --- Monograph --- Mathematical logic. --- Statistical physics. --- Dynamical systems. --- Artificial intelligence. --- Mathematical Logic and Foundations. --- Complex Systems. --- Artificial Intelligence. --- Statistical Physics and Dynamical Systems. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Statistical methods --- Fuzzy systems. --- Nonlinear logic --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Systems, Fuzzy --- System analysis --- Fuzzy logic --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing