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  • © 1989

Knowledge-Based Systems in Astronomy

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Part of the book series: Lecture Notes in Physics (LNP, volume 329)

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Table of contents (13 chapters)

  1. Front Matter

  2. Knowledge based telescope scheduling

    • Mark D. Johnston
    Pages 33-49
  3. Survey work with automated data analysis

    • D. Teuber, P. Schuecker, H. Horstmann
    Pages 51-68
  4. Distributed point-pattern matching

    • George R. Cross, Rittick Gupta
    Pages 69-77
  5. Classification and knowledge

    • Michael J. Kurtz
    Pages 89-106
  6. Knowledge based classification of galaxies

    • Monique Thonnat, Albert Bijaoui
    Pages 121-159
  7. Classification of IUE spectra: A rule based approach

    • Fionn Murtagh, André Heck, Roberto Rampazzo
    Pages 161-167
  8. Connectionism and neural networks

    • H. -M. Adorf
    Pages 213-245
  9. Back Matter

About this book

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.

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access