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Neural networks in astronomy.

Roberto Tagliaferri¹, Giuseppe Longo, Leopoldo Milano

¹Departimento di Matematica e Informatica-DMI, Università di Salerno, Baronissi, Italy. robtag@unisa.it

Neural Networks : the Official Journal of the International Neural Network Society

|April 4, 2003

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Artificial intelligence, including neural networks (NNs), offers solutions for astronomical data mining and visualization challenges. These soft computing methods are becoming essential for handling large, federated astronomical databases.

Area of Science:

Astronomy
Computer Science
Artificial Intelligence

Background:

Astronomical community traditionally hesitant to adopt automatic tools for data reduction and mining.
Federation of large, heterogeneous astronomical databases presents significant data mining and visualization challenges.
Need for user-friendly solutions in astrophysical virtual observatory projects.

Purpose of the Study:

To review the application of neural networks (NNs) and soft computing in astronomy.
To bridge the knowledge gap between astronomers and computer scientists regarding AI in astronomy.
To highlight key application areas for AI in astronomical data analysis.

Main Methods:

Summary of methodological background of NNs, fuzzy sets, and genetic algorithms.

Related Experiment Videos

Focus on applications in object extraction, classification, time series analysis, and noise identification.

Review of original work from the AstroNeural collaboration.

Main Results:

Neural networks and soft computing provide effective solutions for astronomical data mining.
AI tools address challenges posed by large, federated astronomical databases.
Demonstration of AI's utility in object classification and time series analysis.

Conclusions:

Artificial intelligence offers natural and user-friendly solutions for complex astronomical data challenges.
AI methods are increasingly valuable for data reduction and data mining in astronomy.
Further adoption of AI is recommended for advancing astronomical research and data handling.