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Knowledge-Based Systems in Astronomy

Overview of attention for book
Cover of 'Knowledge-Based Systems in Astronomy'

Table of Contents

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    Book Overview
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    Chapter 14 Artificial intelligence applications for Hubble Space Telescope operations
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    Chapter 15 Knowledge based telescope scheduling
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    Chapter 16 Survey work with automated data analysis
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    Chapter 17 Distributed point-pattern matching
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    Chapter 18 Decision problems in the search for periodicities in gamma-ray astronomy. How can A.I. help?
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    Chapter 19 Classification and knowledge
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    Chapter 20 WOLF — A computer expert system for sunspot classification and solar flare prediction
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    Chapter 21 Knowledge based classification of galaxies
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    Chapter 22 Classification of IUE spectra: A rule based approach
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    Chapter 23 Representation of knowledge using Fuzzy set theory
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    Chapter 24 An approach to heuristic exploitation of astronomers' knowledge in automatic interpretation of optical pictures
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    Chapter 25 Connectionism and neural networks
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    Chapter 26 Applications of AI in astronomy: A view towards the future
Attention for Chapter 19: Classification and knowledge
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Citations

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Chapter title
Classification and knowledge
Chapter number 19
Book title
Knowledge-Based Systems in Astronomy
Published in
ADS, January 1989
DOI 10.1007/3-540-51044-3_19
Book ISBNs
978-3-54-051044-4, 978-3-54-046139-5
Authors

Michael J. Kurtz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Physics and Astronomy 1 100%

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