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Competitively Inhibited Neural Networks for Adaptive Parameter Estimation

  • Michael Lemmon

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Michael Lemmon
    Pages 1-5
  3. Michael Lemmon
    Pages 7-16
  4. Michael Lemmon
    Pages 17-31
  5. Michael Lemmon
    Pages 33-48
  6. Michael Lemmon
    Pages 49-71
  7. Michael Lemmon
    Pages 73-107
  8. Michael Lemmon
    Pages 109-113
  9. Back Matter
    Pages 115-142

About this book

Introduction

Artificial Neural Networks have captured the interest of many researchers in the last five years. As with many young fields, neural network research has been largely empirical in nature, relyingstrongly on simulationstudies ofvarious network models. Empiricism is, of course, essential to any science for it provides a body of observations allowing initial characterization of the field. Eventually, however, any maturing field must begin the process of validating empirically derived conjectures with rigorous mathematical models. It is in this way that science has always pro­ ceeded. It is in this way that science provides conclusions that can be used across a variety of applications. This monograph by Michael Lemmon provides just such a theoretical exploration of the role ofcompetition in Artificial Neural Networks. There is "good news" and "bad news" associated with theoretical research in neural networks. The bad news isthat such work usually requires the understanding of and bringing together of results from many seemingly disparate disciplines such as neurobiology, cognitive psychology, theory of differential equations, largc scale systems theory, computer science, and electrical engineering. The good news is that for those capable of making this synthesis, the rewards are rich as exemplified in this monograph.

Keywords

algorithms artificial neural network cognitive psychology electrical engineering learning network neural networks simulation systems theory

Authors and affiliations

  • Michael Lemmon
    • 1
  1. 1.Dept. of Electrical and Computer EngineeringUniversity of Notre DameUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4044-1
  • Copyright Information Kluwer Academic Publishers 1991
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6809-0
  • Online ISBN 978-1-4615-4044-1
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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