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Table of contents

  1. Front Matter
  2. Patrick C. McGuire, David G. Sandler, Michael Lloyd-Hart, Troy A. Rhoadarmer
    Pages 97-138
  3. Klaus A. Gernoth
    Pages 139-169
  4. Bo Söderberg
    Pages 243-256
  5. R. Vilela Mendes
    Pages 257-288

About these proceedings

Introduction

Neural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals. This book, devoted to this highly interdisciplinary research area, addresses scientists and graduate students. The pedagogically written review articles range over a variety of fields including astronomy, nuclear physics, experimental particle physics, bioinformatics, linguistics, and information processing.

Keywords

bioinformatics calculus modeling networks optimization

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0104276
  • Copyright Information Springer-Verlag 1999
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-65737-8
  • Online ISBN 978-3-540-48980-1
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site
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