Overview
- New Soft Computing Techniques for System Modeling, Pattern Classification, Image Processing
- Written by a pioneer in the field of human-friendly technology
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 143)
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Table of contents (14 chapters)
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Introduction
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Probabilistic Neural Networks in a Non-stationary Environment
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Soft Computing Techniques for Image Compression
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Recursive Least Squares Methods for Neural Network Learning and their Systolic Implementations
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing
Authors: Leszek Rutkowski
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-40046-2
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-20584-5Published: 03 February 2004
Softcover ISBN: 978-3-642-05820-2Published: 04 December 2010
eBook ISBN: 978-3-540-40046-2Published: 09 March 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XI, 374
Topics: Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence, Image Processing and Computer Vision, Pattern Recognition, Information and Communication, Circuits