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25 Remote Warehouse Computers Reference- General

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science)

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Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science) Cover

 

Synopses & Reviews

Publisher Comments:

Artificial intelligence--broadly defined as the study of making computers perform tasks that require human intelligence--has grown rapidly as a field of research and industrial application in recent years. Whereas traditionally, AI used techniques drawn from symbolic models such as knowledge-based and logic programming systems, interest has grown in newer paradigms, notably neural networks, genetic algorithms, and fuzzy logic. The significantly updated second edition of Fundamentals of the New Artificial 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 first time. Topics and features: Retains the well-received features of the first edition, yet clarifies and expands on the topic • 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 independently 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. Professor Munakata is a leading figure in this field and has given courses on this topic extensively.

Synopsis:

This significantly updated 2nd edition thoroughly covers the most essential & widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, & chaos. The exposition reveals the core principles, concepts, & technologies in a concise & accessible, easy-to-understand manner, & as a result, prerequisites are minimal. Topics & features: Retains the well-received features of the first edition, yet clarifies & expands on the topic Features completely new material on simulated annealing, Boltzmann machines, & 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 & algorithms Integrates all material, yet allows each chapter to be used or studied independently This invaluable text & reference is ideal for upper-level undergraduates & graduates studying artificial intelligence, soft computing, neural networks, evolutionary computing, & fuzzy systems.

Table of Contents

Introduction.- Neural Networks: Fundamentals and the Backpropagation Model.- Neural Networks: Other Models.- Genetic Algorithms and Evolutionary Computing.- Fuzzy Systems.- Rough Sets.- Chaos

Product Details

ISBN:
9781846288388
Author:
Munakata, Toshinori
Publisher:
Springer
Subject:
Artificial Intelligence - General
Subject:
Database Management - Database Mining
Subject:
Computer Vision
Subject:
Artificial Intelligence
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Subject:
chaotic systems
Subject:
Evolutionary Computing
Subject:
Fuzzy systems
Subject:
Neural Networks
Subject:
Rough Set Theory
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Data Mining and Knowledge Discovery
Subject:
Pattern recognition.
Edition Number:
2
Edition Description:
2nd ed. 2008
Series:
Texts in Computer Science
Series Volume:
Neural, Evolutionary
Publication Date:
20080231
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
272
Dimensions:
235 x 178 mm

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science) New Hardcover
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$99.25 In Stock
Product details 272 pages Springer - English 9781846288388 Reviews:
"Synopsis" by , This significantly updated 2nd edition thoroughly covers the most essential & widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, & chaos. The exposition reveals the core principles, concepts, & technologies in a concise & accessible, easy-to-understand manner, & as a result, prerequisites are minimal. Topics & features: Retains the well-received features of the first edition, yet clarifies & expands on the topic Features completely new material on simulated annealing, Boltzmann machines, & 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 & algorithms Integrates all material, yet allows each chapter to be used or studied independently This invaluable text & reference is ideal for upper-level undergraduates & graduates studying artificial intelligence, soft computing, neural networks, evolutionary computing, & fuzzy systems.
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