Knowledge-based systems in astronomy [electronic resource] : a topical volume with contributions by A. Accomazzi [and others] / A. Heck, F. Murtagh, eds.
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 sur...
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| Online Access: |
Full Text (via Springer) |
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer-Verlag,
©1989.
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| Series: | Lecture notes in physics ;
329. |
| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource (iv, 280 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9783540461395 3540461396 |
| ISSN: | 1616-6361 ; |
| Source of Description, Etc. Note: | Source of description: Print version record. |