Overview
- Presents innovative applications of advanced computational intelligence paradigms
Part of the book series: Studies in Computational Intelligence (SCI, volume 137)
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Table of contents (12 chapters)
Keywords
About this book
System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust.
The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.
Bibliographic Information
Book Title: Computational Intelligence Paradigms
Book Subtitle: Innovative Applications
Editors: Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-79474-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-79473-8Published: 14 June 2008
Softcover ISBN: 978-3-642-09839-0Published: 30 November 2010
eBook ISBN: 978-3-540-79474-5Published: 17 June 2008
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: VIII, 281
Topics: Mathematical and Computational Engineering, Artificial Intelligence