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

  • Leszek¬†Rutkowski

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 143)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Introduction

    1. Leszek Rutkowski
      Pages 1-6
  3. Probabilistic Neural Networks in a Non-stationary Environment

  4. Soft Computing Techniques for Image Compression

    1. Front Matter
      Pages 168-168
    2. Leszek Rutkowski
      Pages 169-177
    3. Leszek Rutkowski
      Pages 179-184
    4. Leszek Rutkowski
      Pages 185-191
    5. Leszek Rutkowski
      Pages 193-202
    6. Leszek Rutkowski
      Pages 203-216
    7. Leszek Rutkowski
      Pages 217-239
  5. Recursive Least Squares Methods for Neural Network Learning and their Systolic Implementations

    1. Front Matter
      Pages 168-168
    2. Leszek Rutkowski
      Pages 241-281
  6. Back Matter
    Pages 329-373

About this book

Introduction

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.

Keywords

Hardware Pattern Classification Probabilistic Neural Networks Recursive Least Square Methods Regression System Modelling algorithm algorithms classification construction image processing learning modeling system modeling

Authors and affiliations

  • Leszek¬†Rutkowski
    • 1
  1. 1.Department of Computer EngineeringTechnical University of CzestochowaCzestochowaPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-40046-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05820-2
  • Online ISBN 978-3-540-40046-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site