Overview
- Latest developments in intelligent paradigms and practical interesting applications
- State of the art in building 'thinking' machines and improving our understanding of intelligence
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 140)
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Table of contents (18 chapters)
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Front Matter
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Theory
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Front Matter
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Applications
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Front Matter
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Keywords
About this book
Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.
Editors and Affiliations
Bibliographic Information
Book Title: Innovations in Intelligent Systems
Editors: Ajith Abraham, Lakhmi Jain, Berend Jan Zwaag
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-39615-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-20265-3Published: 21 January 2004
Softcover ISBN: 978-3-642-05784-7Published: 05 December 2010
eBook ISBN: 978-3-540-39615-4Published: 29 June 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXV, 468
Number of Illustrations: 10 b/w illustrations, 6 illustrations in colour
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer-Aided Engineering (CAD, CAE) and Design, Applications of Mathematics, Operations Research/Decision Theory