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Knowledge-Based Systems in Astronomy: Lecture Notes in Physics, cartea 329

Editat de Andre Heck, Fionn Murtagh
en Limba Engleză Paperback – 17 apr 2014
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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Specificații

ISBN-13: 9783662137338
ISBN-10: 366213733X
Pagini: 292
Ilustrații: IV, 284 p. 38 illus.
Dimensiuni: 170 x 244 x 15 mm
Greutate: 0.47 kg
Ediția:Softcover reprint of the original 1st ed. 1989
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Physics

Locul publicării:Berlin, Heidelberg, Germany

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Professional/practitioner

Cuprins

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.