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.
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J M Zurada. Introduction to Artificial Neural Systems. West Publishing Company, New York. 1992.
S Haykin. Neural Networks — A Comprehensive Foundation. IEEE, New York. 1994.
B Kosko. Neural Networks and Fuzzy Systems — A Dynamical Systems Approach to Machine Intelligence. Prentice Hall, Englewood Cliffs, N.J. 1992.
R C Eberhart and R W Dobbins. Neural Network PC Took — A Practical Guide. Academic Press Inc., New York. 1992.
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Raol, J.R., Mankame, S.S. Artificial neural networks. Reson 1, 47–54 (1996). https://doi.org/10.1007/BF02835699
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DOI: https://doi.org/10.1007/BF02835699