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Optimization of activation functions in multilayer neural network applied to pattern classification

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2 Author(s)
Nakayama, K. ; Dept. of Electr. & Comput. Eng., Kanazawa Univ., Japan ; Kimura, Y.

An optimization method of activation functions is proposed. Three typical functions are combined in hidden layers. Contribution of the functions is evaluated using three criteria. The useful functions, are selected or multiplied in the learning process. Problems of parity and of counting `1' in bit-patterns can be solved by the proposed method with the suitable functions and the minimum number of hidden units

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:1 )

Date of Conference:

27 Jun-2 Jul 1994

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