Knowledge-Based Systems in Astronomy

Fionn Murtagh

ISBN 10: 366213733X / ISBN 13: 9783662137338

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2014, 2014

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.

Codice articolo 9783662137338

Dati bibliografici

• Titolo: Knowledge-Based Systems in Astronomy
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2014
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 366213733X
• ISBN 13: 9783662137338
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 244 L x 170 A x 16 P (millimetri) 244 millimetri di larghezza per 170 millimetri di altezza per 16 millimetri di profondità
• Peso: 508 grammi

Descrizione articolo

Riassunto

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.

Contenuti

Artificial intelligence applications for Hubble Space Telescope operations.- Knowledge based telescope scheduling.- Survey work with automated data analysis.- Distributed point-pattern matching.- Decision problems in the search for periodicities in gamma-ray astronomy. How can A.I. help?.- Classification and knowledge.- WOLF — A computer expert system for sunspot classification and solar flare prediction.- Knowledge based classification of galaxies.- Classification of IUE spectra: A rule based approach.- Representation of knowledge using Fuzzy set theory.- An approach to heuristic exploitation of astronomers' knowledge in automatic interpretation of optical pictures.- Connectionism and neural networks.- Applications of AI in astronomy: A view towards the future.