International Journal of Computational Intelligence Systems

Volume 11, Issue 1, 2018, Pages 575 - 590

Computational Intelligence in Astronomy: A Survey

Authors
Ke Wang1, Ping Guo2, *, Fusheng Yu3, Lingzi Duan3, Yuping Wang4, Hui Du5
1School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China
2Image Processing and Pattern Recognition Laboratory, School of System Science, Beijing Normal University, Beijing, 100875, China
3Laboratory of Mathematics and Complex Systems, Ministry of Education, School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China
4School of Computer Science and Technology, Xidian University, Xi’an, 710071, China
5College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China
Corresponding Author
Ping Guo
Received 28 April 2017, Accepted 5 January 2018, Available Online 22 January 2018.
DOI
10.2991/ijcis.11.1.43How to use a DOI?
Keywords
Computational intelligence; astronomical data analysis; neural networks; fuzzy set; evolutionary computation
Abstract

With explosive growth of the astronomical data, astronomy has become a representative data-rich discipline so as to defy traditional research methodologies and paradigm to analyze data and discover new knowledge from the data. How to effectively process and analyze the astronomical data is a fundamental work while a key scientific requirement of modern astronomical surveys. This situation has motivated needs for fostering of a wide range of cooperation with the astronomers and computer scientists. Computational intelligence, an important research direction of artificial intelligence and information sciences, has been shown to be promising to solve complex problems in scientific research and engineering. This paper presents a review of the current state of the application of computational intelligence in astronomy. We believe that computational intelligence is expected to provide powerful tools for addressing challenges in astronomical data analysis.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
575 - 590
Publication Date
2018/01/22
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.43How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ke Wang
AU  - Ping Guo
AU  - Fusheng Yu
AU  - Lingzi Duan
AU  - Yuping Wang
AU  - Hui Du
PY  - 2018
DA  - 2018/01/22
TI  - Computational Intelligence in Astronomy: A Survey
JO  - International Journal of Computational Intelligence Systems
SP  - 575
EP  - 590
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.43
DO  - 10.2991/ijcis.11.1.43
ID  - Wang2018
ER  -