| Title:
|
KNOWLEDGE-BASED SYSTEMS IN ASTRONOMY
|
| By: |
Andre Heck (Editor), Fionn Murtagh (Editor) |
| Format: |
Paperback |
| List price:
|
£54.99 |
|
We currently do not stock this item, please contact the publisher directly for
further information.
|
|
|
|
|
|
| ISBN 10: |
366213733X |
| ISBN 13: |
9783662137338 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
29 June, 2013 |
| Edition: |
Softcover reprint of the original 1st ed. 1989 |
| Series: |
Lecture Notes in Physics 329 |
| Pages: |
288 |
| Description: |
With contributions by numerous experts |
| Synopsis: |
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. |
| Illustrations: |
38 black & white illustrations, biography |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |