Overview
- Presents novel tools and useful perspectives for effective pattern classification and function approximation problems based on disparate types of data
- Introduces useful novel tools, which have the potential to cross-fertilize various techniques in Computational Intelligence /Soft Computing /Machine Learning applications
Part of the book series: Studies in Computational Intelligence (SCI, volume 27)
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Table of contents (12 chapters)
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Front Matter
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The Context
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Front Matter
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Applications and Comparisons
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Front Matter
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Conclusion
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Front Matter
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Back Matter
Keywords
About this book
By ‘model’ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains. This research monograph proposes a unified, cross-fertilizing approach for knowledge-representation and modeling based on lattice theory. The emphasis is on clustering, classification, and regression applications. It is shown how rigorous analysis and design can be pursued in soft computing using conventional (hard computing) methods. Moreover, non-Turing computation can be pursued. The material here is multi-disciplinary based on our on-going research published in major scientific journals and conferences. Experimental results by various algorithms are demonstrated extensively. Relevant work by other authors is also presented both extensively and comparatively.
Authors and Affiliations
Bibliographic Information
Book Title: Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory
Book Subtitle: Computational Intelligence and Soft Computing Applications
Authors: Vassilis G. Kaburlasos
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-34170-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Hardcover ISBN: 978-3-540-34169-7Published: 22 June 2006
Softcover ISBN: 978-3-642-07058-7Published: 23 November 2010
eBook ISBN: 978-3-540-34170-3Published: 07 February 2007
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXII, 245
Topics: Theory of Computation, Artificial Intelligence, Mathematical and Computational Engineering, Applications of Mathematics