Artificial Intelligence and Neural Networks

by K. Uma Rao

Description This book aims toprovide the fundamental concepts of Artificial Intelligence andArtificial Neural Networks, for a one semester undergraduate coursein Electrical Science branch. The book is divided into two parts;Part A with 5 chapters that deals Artificial Intelligence and PartB with 6 chapters deals the Neural Networks. The part A coversintroduction and history of AI, applications of AI, modelling ofintelligent systems and their characterization using PEAS, searchalgorithms, Propositional logic and First Order Predicate Logicwhile Part B covering the evolution of ANN, McCulloch Pitts Model,Learning paradigms, learning tasks, perception, Back Propagationalgorithm, Pattern Mapping Networks, Pattern Storage Networks,Radial Basis Functions, Hopfield Networks and Associative memory. For Sale in Indiansubcontinent only The fundamentals of AI and ANN are covered in one book. The presentation of the topics is simple and lucid. Number of solved example in search techniques, Proposition Logic and First order Predicate logic. Algorithms in ANN presented with detailed mathematical derivations wherever necessary Examples in ANN to illustrate the algorithms, without a need for detailed programming Focus on Pattern Mapping and Pattern Storage Networks

468 pages, Paperback

Published January 1, 2011