Overview
- Unique text and reference book for graduate students in Computer Science and for researchers and practitioners in industry and R&D laboratories
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Technologies (COGTECH)
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Table of contents (28 chapters)
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Rough Sets, Granular Computing, and Rough-Neural Computing: Foundations
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Hybrid Approaches
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Exemplary Application Areas
Keywords
About this book
Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others.
It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.
Reviews
From the reviews:
"This book (actually edited volume) presents recent advances in the area of rough neural computer from a wide konge (sic) of perspectives. … The book contains a few introductory articles suitable to understand what the field of rough several computing is about." (Jan Friso Groote, Zentralblatt MATH, Vol. 1040(9), 2004)
Editors and Affiliations
Bibliographic Information
Book Title: Rough-Neural Computing
Book Subtitle: Techniques for Computing with Words
Editors: Sankar K. Pal, Lech Polkowski, Andrzej Skowron
Series Title: Cognitive Technologies
DOI: https://doi.org/10.1007/978-3-642-18859-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-43059-9Published: 22 September 2003
Softcover ISBN: 978-3-642-62328-8Published: 23 October 2012
eBook ISBN: 978-3-642-18859-6Published: 06 December 2012
Series ISSN: 1611-2482
Series E-ISSN: 2197-6635
Edition Number: 1
Number of Pages: XXV, 736
Topics: Artificial Intelligence, Pattern Recognition, Information Systems Applications (incl. Internet), Image Processing and Computer Vision, Mathematical Logic and Formal Languages, Mathematical and Computational Engineering