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Table of contents

  1. Front Matter
  2. Mark D. Johnston
    Pages 33-49
  3. D. Teuber, P. Schuecker, H. Horstmann
    Pages 51-68
  4. George R. Cross, Rittick Gupta
    Pages 69-77
  5. Michael J. Kurtz
    Pages 89-106
  6. Monique Thonnat, Albert Bijaoui
    Pages 121-159
  7. Fionn Murtagh, André Heck, Roberto Rampazzo
    Pages 161-167
  8. H. -M. Adorf
    Pages 213-245
  9. Back Matter

About this book

Introduction

This book gives a synthesis of the state of the art in artificial intelligence in astronomy and astrophysics, presents its current applications and points out directions of future work. The individual chapters report on the application of artificial intelligence techniques for large astronomical surveys, for processing cosmic ray data, for facilitating data reduction using image processing systems, for telescope scheduling, for observatory ground support operations, for observation proposal preparation assistance, and for scientific applications such as stellar spectral and galaxy morphology classification. The new field of connectionism (neural networks) is also surveyed. The book is designed to be self-contained: a glossary of terms used in this area is provided and an index of terms, acronyms and proper names completes the book.

Keywords

Pattern Matching artificial intelligence astronomy astrophysics decision problem expert system image processing intelligence knowledge knowledge base knowledge-based system knowledge-based systems neural networks

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-51044-3
  • Copyright Information Springer-Verlag 1989
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-51044-4
  • Online ISBN 978-3-540-46139-5
  • Series Print ISSN 0075-8450
  • Series Online ISSN 1616-6361
  • Buy this book on publisher's site
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