This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.
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Taking inspiration from the brain structure (neurons), linguistic rather than precise way of description by humans (not so cold, very warm), genetics and the behaviour of birds and ants in the nature, new techniques for the solution of various problems have been developed over the past three decades or so. All these techniques are broadly classified as artificial intelligence or computational intelligence. Artificial intelligence encompasses methods like artificial neural networks and fuzzy logic. Computational intelligence includes optimization methods such as genetic algorithm, evolutionary algorithm, arts colony, particle swarm optimization, etc. and their variations. Feasibility of the application of these techniques in various control and optimization problems has been investigated extensively and these techniques have been applied to physical systems in a number of cases. With the computational power now available, importance of this relatively new branch of knowledge, that is heavily dependent on soft computing, will grow significantly in the future. The appearance of a book like this one helps spread awareness about the new techniques based on soft computing and is thus a welcome addition. In this book a cross-section of these techniques is introduced and their applications illustrated by examples from physical systems based on the author’s own research. It will provide a good introduction to a reader interested in this subject. Om P. Malik, Professor Emeritus, University of Calgary
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Key Phrases - Statistically Improbable Phrases (SIPs):
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learning complexity, integrated fuzzy, transmission planning, natural numbers, soft computing, generalized neuron models, single area system, system usage index, term load forecasting problem, firm bilateral transactions, testing performance curves, redispatch cost, ground fault test, constant voltage bus, machine infinite bus system, real power generation, quadratic cost curve, using fuzzy logic approach, jth bus, two area system, normalization range, compensatory operators, fuzzy modifier, load flow solution, reactive power generation Key Phrases - Capitalized Phrases (CAPs): (learn more)
Applications of Generalized Neuron Models, Applications of Fuzzy Rule Based System, Epoch Error, Transmission Pricing Model Under Deregulated Environment, Load Torque Fig, Control Applications, Springer-Verlag Berlin Heidelberg, Computational Intelligence, Electrical Engineering, Applications of Genetic Algorithms, Power System Stabilizer Problem, Congestion Management Using, Benchmark Testing of Generalized Neuron Model, Population Model Using Neuro-Fuzzy Approach, Electrical Load Forecasting Problem, Aircraft Landing Control System Using, Electrical Machine Modeling, Number of Epochs Hours Fig, Life History of Brain, Models Training, Modus Ponens, Distributing Neuron, Problem Complexity, Gaines Rascher, The Resilient Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
learning complexity, integrated fuzzy, transmission planning, natural numbers, soft computing, generalized neuron models, single area system, system usage index, term load forecasting problem, firm bilateral transactions, testing performance curves, redispatch cost, ground fault test, constant voltage bus, machine infinite bus system, real power generation, quadratic cost curve, using fuzzy logic approach, jth bus, two area system, normalization range, compensatory operators, fuzzy modifier, load flow solution, reactive power generation Key Phrases - Capitalized Phrases (CAPs): (learn more)
Applications of Generalized Neuron Models, Applications of Fuzzy Rule Based System, Epoch Error, Transmission Pricing Model Under Deregulated Environment, Load Torque Fig, Control Applications, Springer-Verlag Berlin Heidelberg, Computational Intelligence, Electrical Engineering, Applications of Genetic Algorithms, Power System Stabilizer Problem, Congestion Management Using, Benchmark Testing of Generalized Neuron Model, Population Model Using Neuro-Fuzzy Approach, Electrical Load Forecasting Problem, Aircraft Landing Control System Using, Electrical Machine Modeling, Number of Epochs Hours Fig, Life History of Brain, Models Training, Modus Ponens, Distributing Neuron, Problem Complexity, Gaines Rascher, The Resilient Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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