Fundamentals Of The New Arti?cial Intelligence (Paperback)  | Released: 2011

The signi? cantly updated second edition of Fundamentals of the New Arti?cial Intelligence thoroughly covers the most essential and widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, and chaos. In particular, this unique textbook explores the importance of this content for real-world applications. The exposition reveals the core principles, concepts, and technologies in a concise and accessible, easy-to-understand manner, and as a result, prerequisites are minimal: A basic understanding of computer programming and mathematics makes the book suitable for readers coming to this subject for the ?rst time. This invaluable text and reference is an authoritative introduction to the subject and is therefore ideal for upper-level undergraduates and graduates studying intelligent computing, soft computing, neural networks, evolutionary computing, and fuzzy systems. In addition, the material is self-contained and therefore valuable to researchers in many related disciplines. Topics & Features: Features completely new material on simulated annealing, Boltzmann machines, and extended fuzzy if-then rules tables [NEW] Emphasizes the real-world applications derived from this important area of computer science Provides easy-to-comprehend descriptions and algorithms Updates all references, for maximum usefulness to professors, students, and other readers [NEW] Integrates all material, yet allows each chapter to be used or studied independentlyAbout the AuthorProfessor Munakata is a leading ?gure in this ?eld and has given courses on this topic extensively.Table of ContentsIntroduction Neural Networks: Fundamentals and the Backpropagation Model Neural Networks: Other Models Genetic Algorithms and Evolutionary Computing Fuzzy Systems Rough Sets Chao Index.