Knowledge-Based Systems in Astronomy

by Andre HECK (Editor), Fionn Murtagh (Editor)

Overview

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.

Product Details

ISBN-13:	9783662137338
Publisher:	Springer Berlin Heidelberg
Publication date:	06/29/2013
Series:	Lecture Notes in Physics , #329
Edition description:	Softcover reprint of the original 1st ed. 1989
Pages:	284
Product dimensions:	6.69(w) x 9.61(h) x 0.02(d)

Table of Contents

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.