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Resonance

, Volume 1, Issue 2, pp 47–54 | Cite as

Artificial neural networks

A brief introduction
  • Jitendra R. Raol
  • Sunilkumar S. Mankame
General Article

Abstract

Artificial neural networks are ‘biologically’ inspired networks. They have the ability to learn from empirical data/ information. They find use in computer science and control engineering fields.

Keywords

Artificial Neural Network Hide Layer Source Node Recurrent Neural Network Feed Forward Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Suggested Reading

  1. J M Zurada. Introduction to Artificial Neural Systems. West Publishing Company, New York. 1992.Google Scholar
  2. S Haykin. Neural Networks — A Comprehensive Foundation. IEEE, New York. 1994.Google Scholar
  3. B Kosko. Neural Networks and Fuzzy Systems — A Dynamical Systems Approach to Machine Intelligence. Prentice Hall, Englewood Cliffs, N.J. 1992.Google Scholar
  4. R C Eberhart and R W Dobbins. Neural Network PC Took — A Practical Guide. Academic Press Inc., New York. 1992.Google Scholar

Copyright information

© Indian Academy of Sciences 1996

Authors and Affiliations

  • Jitendra R. Raol
    • 1
  • Sunilkumar S. Mankame
    • 1
  1. 1.Flight Mechanics and Control DivisionNational Aerospace LaboratoriesBangaloreIndia

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