000 03794nam a22005415i 4500
001 978-3-540-46139-5
003 DE-He213
005 20190213151344.0
007 cr nn 008mamaa
008 121227s1989 gw | s |||| 0|eng d
020 _a9783540461395
_9978-3-540-46139-5
024 7 _a10.1007/3-540-51044-3
_2doi
050 4 _aQB4
072 7 _aPG
_2bicssc
072 7 _aSCI004000
_2bisacsh
072 7 _aPG
_2thema
082 0 4 _a520
_223
245 1 0 _aKnowledge-Based Systems in Astronomy
_h[electronic resource] /
_cedited by A. Heck, F. Murtagh.
246 3 _aWith contributions by numerous experts
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c1989.
300 _aIV, 284 p. 38 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Physics,
_x0075-8450 ;
_v329
505 0 _aArtificial 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.
520 _aThis 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.
650 0 _aPhysical geography.
650 0 _aArtificial intelligence.
650 1 4 _aAstronomy, Observations and Techniques.
_0http://scigraph.springernature.com/things/product-market-codes/P22014
650 2 4 _aAstrophysics and Astroparticles.
_0http://scigraph.springernature.com/things/product-market-codes/P22022
650 2 4 _aGeophysics/Geodesy.
_0http://scigraph.springernature.com/things/product-market-codes/G18009
650 2 4 _aArtificial Intelligence.
_0http://scigraph.springernature.com/things/product-market-codes/I21000
700 1 _aHeck, A.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMurtagh, F.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783662137338
776 0 8 _iPrinted edition:
_z9783662137321
776 0 8 _iPrinted edition:
_z9783540510444
830 0 _aLecture Notes in Physics,
_x0075-8450 ;
_v329
856 4 0 _uhttps://doi.org/10.1007/3-540-51044-3
912 _aZDB-2-PHA
912 _aZDB-2-LNP
912 _aZDB-2-BAE
999 _c10389
_d10389