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024 7 $a10.1007/3-540-51044-3
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035   $a(PQKBTitleCode)TC0000324271
035   $a(PQKBWorkID)10304717
035   $a(PQKB)11581324
035   $a(DE-He213)978-3-540-46139-5
035   $a(PPN)155173456
035   $a(EXLCZ)991000000000233376
100   $a20121227d1989      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt
182   $cc
183   $acr
200 10$aKnowledge-Based Systems in Astronomy$b[electronic resource] /$fedited by Andre HECK, Fionn Murtagh
205   $a1st ed. 1989.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1989.
215   $a1 online resource (IV, 284 p. 38 illus.) 
225 1 $aLecture Notes in Physics,$x0075-8450 ;$v329
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-540-51044-3 
327   $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.
330   $aThis book gives a synthesis of the state of the art in artificial intelligence in astronomy and astrophysics, presents its current applications and points out directions of future work. The individual chapters report on the application of artificial intelligence techniques for large astronomical surveys, for processing cosmic ray data, for facilitating data reduction using image processing systems, for telescope scheduling, for observatory ground support operations, for observation proposal preparation assistance, and for scientific applications such as stellar spectral and galaxy morphology classification. The new field of connectionism (neural networks) is also surveyed. The book is designed to be self-contained: a glossary of terms used in this area is provided and an index of terms, acronyms and proper names completes the book.
410  0$aLecture Notes in Physics,$x0075-8450 ;$v329
517 3 $aWith contributions by numerous experts
606   $aObservations, Astronomical
606   $aAstronomy?Observations
606   $aAstrophysics
606   $aGeophysics
606   $aArtificial intelligence
606   $aAstronomy, Observations and Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/P22014
606   $aAstrophysics and Astroparticles$3https://scigraph.springernature.com/ontologies/product-market-codes/P22022
606   $aGeophysics/Geodesy$3https://scigraph.springernature.com/ontologies/product-market-codes/G18009
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
615  0$aObservations, Astronomical.
615  0$aAstronomy?Observations.
615  0$aAstrophysics.
615  0$aGeophysics.
615  0$aArtificial intelligence.
615 14$aAstronomy, Observations and Techniques.
615 24$aAstrophysics and Astroparticles.
615 24$aGeophysics/Geodesy.
615 24$aArtificial Intelligence.
676   $a520
702   $aHECK$b Andre$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aMurtagh$b Fionn$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910257434403321
996   $aKnowledge-Based Systems in Astronomy$92507959
997   $aUNINA