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

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read
Not in Library

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

Buy this book

Last edited by ImportBot
December 25, 2021 | History

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

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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 for Image Compression including the vector quantization technique. The third part analyzes various types of recursive least square techniques for neural network learning as well as discussing hardware implemenations using systolic technology. By integrating various disciplines from the fields of soft computing science and engineering the book presents the key concepts for the creation of a human-friendly technology in our modern information society.

Publish Date
Language
English
Pages
373

Buy this book

Previews available in: English

Edition Availability
Cover of: New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing
New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing
2004, Springer Berlin Heidelberg
electronic resource / in English

Add another edition?

Book Details


Table of 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.

Edition Notes

Online full text is restricted to subscribers.

Also available in print.

Mode of access: World Wide Web.

Published in
Berlin, Heidelberg
Series
Studies in Fuzziness and Soft Computing -- 143, Studies in fuzziness and soft computing -- 143.

Classifications

Dewey Decimal Class
519
Library of Congress
TA329-348, TA640-643, QA75.5-76.95

The Physical Object

Format
[electronic resource] /
Pagination
1 online resource (xi, 373 p.)
Number of pages
373

ID Numbers

Open Library
OL27077271M
Internet Archive
newsoftcomputing00dpro
ISBN 10
3642058205, 354040046X
ISBN 13
9783642058202, 9783540400462
OCLC/WorldCat
851829380

Community Reviews (0)

Feedback?
No community reviews have been submitted for this work.

Lists

This work does not appear on any lists.

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 25, 2021 Edited by ImportBot import existing book
December 25, 2021 Edited by ImportBot import existing book
July 5, 2019 Created by MARC Bot Imported from Internet Archive item record