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Titlebook: Knowledge-Based Systems in Astronomy; A. Heck,F. Murtagh Book 1989 Springer-Verlag Berlin Heidelberg 1989 Pattern Matching.artificial inte

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书目名称Knowledge-Based Systems in Astronomy
编辑A. Heck,F. Murtagh
视频videohttp://file.papertrans.cn/545/544227/544227.mp4
丛书名称Lecture Notes in Physics
图书封面Titlebook: Knowledge-Based Systems in Astronomy;  A. Heck,F. Murtagh Book 1989 Springer-Verlag Berlin Heidelberg 1989 Pattern Matching.artificial inte
描述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.
出版日期Book 1989
关键词Pattern Matching; artificial intelligence; astronomy; astrophysics; decision problem; expert system; image
版次1
doihttps://doi.org/10.1007/3-540-51044-3
isbn_softcover978-3-662-13733-8
isbn_ebook978-3-540-46139-5Series ISSN 0075-8450 Series E-ISSN 1616-6361
issn_series 0075-8450
copyrightSpringer-Verlag Berlin Heidelberg 1989
The information of publication is updating

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发表于 2025-3-21 22:29:59 | 显示全部楼层
978-3-662-13733-8Springer-Verlag Berlin Heidelberg 1989
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Knowledge based classification of galaxies, these objects will greatly increase. This will surely lead us to refine prevalent classification schemes..The method described in this chapter can easily be extended to the study of objects other than galaxies; for instance to the study of clusters.
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Book 1989lassification. 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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0075-8450 ons 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 observat
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Classification and knowledge,t allow us to increase our knowledge..It will be a very long time before machines can look at data with the genius of a Morgan or a Zwicky, but that must be our goal. To achieve this we must build machines which interact with humans at ever increasingly higher levels of sophistication and knowledge.
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