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This book aims to provide the fundamental concepts of Artificial Intelligence and Artificial Neural Networks, for a one semester undergraduate course in Electrical Science branch. The book is divided into two parts; Part A with 5 chapters that deals Artificial Intelligence and Part B with 6 chapters deals the Neural Networks. The part A covers introduction and history of AI, applications of AI, modelling of intelligent systems and their characterization using PEAS, search algorithms, Propositional logic and First Order Predicate Logic while Part B covering the evolution of ANN, McCulloch Pitts Model, Learning paradigms, learning tasks, perception, Back Propagation algorithm, Pattern Mapping Networks, Pattern Storage Networks, Radial Basis Functions, Hopfield Networks and Associative memory. ISBN-9788131759653
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Pages : 468
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