Knowledge-Based Systems in Astronomy [E-Book] / edited by A. Heck, F. 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 sur...
Saved in:
Full text |
|
Personal Name(s): | Heck, A., editor |
Murtagh, F., editor | |
Imprint: |
Berlin, Heidelberg :
Springer,
1989
|
Physical Description: |
IV, 284 p. 38 illus. online resource. |
Note: |
englisch |
ISBN: |
9783540461395 |
DOI: |
10.1007/3-540-51044-3 |
Series Title: |
/* Depending on the record driver, $field may either be an array with
"name" and "number" keys or a flat string containing only the series
name. We should account for both cases to maximize compatibility. */?>
Lecture Notes in Physics ;
329 |
Subject (LOC): |
- 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.