Description
Pearson Education Artificial Intellegence And Neural Netwo by RAO
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.