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New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Author: Leszek Rutkowski
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
Series: Studies in fuzziness and soft computing, 143.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book presents new soft computing techniques for system modeling, pattern classification and image processing. The book consists of three parts, the first of which is devoted to probabilistic neural networks including a new approach which has proven to be useful for handling regression and classification problems in time-varying environments. The second part of the book is devoted to Soft Computing techniques  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Leszek Rutkowski
ISBN: 9783540400462 354040046X
OCLC Number: 851829380
Description: 1 online resource (xi, 373 pages).
Contents: Probabilistic Neural Networks in a Non-stationary Environment --
Soft Computing Techniques for Image Compression --
Recursive Least Square Methods for Neural Network Learning and their Systolic Implementations.
Series Title: Studies in fuzziness and soft computing, 143.
Responsibility: by Leszek Rutkowski.

Abstract:

The present vol- ume, based mostly on his own work, is a milestone in the devel- opment of soft computing, integrating various disciplines from the fields of information science and engineering.  Read more...

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