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100%: Herausgegeben von HECK, Andre Murtagh, Fionn: Knowledge-Based Systems in Astronomy Editor (ISBN: 9783662137338) in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
45%: Andre HECK; Fionn Murtagh: Knowledge-Based Systems in Astronomy (ISBN: 9783540461395) Springer Nature, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Knowledge-Based Systems in Astronomy Editor - 10 Angebote vergleichen
| Preise | 2015 | 2019 | 2021 |
|---|---|---|---|
| Schnitt | Fr. 99.76 (€ 101.88)¹ | Fr. 58.44 (€ 59.69)¹ | Fr. 62.85 (€ 64.19)¹ |
| Nachfrage |
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Knowledge-Based Systems in Astronomy (Softcover reprint of the original 1st ed. 1989)
DE PB NWISBN: 9783662137338 bzw. 366213733X, in Deutsch, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Taschenbuch, neu.
Von Händler/Antiquariat, THE SAINT BOOKSTORE [51194787], Southport, United Kingdom.
BRAND NEW PRINT ON DEMAND., Knowledge-Based Systems in Astronomy (Softcover reprint of the original 1st ed. 1989), Andre Heck, Fionn Murtagh, 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.
BRAND NEW PRINT ON DEMAND., Knowledge-Based Systems in Astronomy (Softcover reprint of the original 1st ed. 1989), Andre Heck, Fionn Murtagh, 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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Knowledge-Based Systems in Astronomy
~EN PB NWISBN: 9783662137338 bzw. 366213733X, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
Lieferung aus: Österreich, Lagernd.
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. Soft cover.
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. Soft cover.
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Lecture Notes in Physics: Knowledge-Based Systems in Astronomy (2014)
~EN PB NWISBN: 9783662137338 bzw. 366213733X, vermutlich in Englisch, 284 Seiten, Springer Springer, Berlin, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
KURZE BESCHREIBUNG/ANMERKUNGEN: With contributions by numerous experts AUSFÜHRLICHERE BESCHREIBUNG: 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. INHALT: 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. 2014, Taschenbuch / Paperback, Neuware, H: 244mm, B: 170mm, T: 15mm, 490g, 284, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
KURZE BESCHREIBUNG/ANMERKUNGEN: With contributions by numerous experts AUSFÜHRLICHERE BESCHREIBUNG: 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. INHALT: 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. 2014, Taschenbuch / Paperback, Neuware, H: 244mm, B: 170mm, T: 15mm, 490g, 284, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung.
4
Knowledge-Based Systems in Astronomy
~EN NW EB DLISBN: 9783540461395 bzw. 3540461396, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Österreich, Lagernd.
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. eBook.
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. eBook.
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Knowledge-Based Systems in Astronomy
~EN PB NWISBN: 9783662137338 bzw. 366213733X, vermutlich in Englisch, Springer Berlin Heidelberg, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Knowledge-Based Systems in Astronomy: 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. Englisch, Taschenbuch.
Knowledge-Based Systems in Astronomy: 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. Englisch, Taschenbuch.
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/ Murtagh | Knowledge-Based Systems in Astronomy | Springer | 2014
~EN NWISBN: 9783662137338 bzw. 366213733X, vermutlich in Englisch, Springer, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Knowledge-Based Systems in Astronomy Andre HECK Editor
~EN PB NWISBN: 9783662137338 bzw. 366213733X, vermutlich in Englisch, Springer Berlin Heidelberg, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Knowledge-Based Systems in Astronomy
~EN NW ABISBN: 9783662137338 bzw. 366213733X, vermutlich in Englisch, neu, Hörbuch.
Lieferung aus: Niederlande, Lieferzeit: 5 Tage, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Knowledge-Based Systems in Astronomy
DE NW EBISBN: 9783540461395 bzw. 3540461396, in Deutsch, Springer Nature, neu, E-Book.
Lieferung aus: Deutschland, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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