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A genetic algorithm approach used to generate the neural network structures

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2 Author(s)
Zhijun Liu ; Dept. of Electr. & Electron. Eng., Oita Univ., Japan ; Sugisaka, M.

A genetic algorithm (GA) is implemented to search for the optimal structures of neural networks which are used for approximating a given nonlinear function. Two kinds of neural networks, i.e. the multilayer feedforward and time delay neural networks are involved in the paper. The weights of each neural network in each generation are obtained by associated training algorithms. The simulation results of nonlinear function approximation are given and some improvements in the future are outlined

Published in:

Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on  (Volume:2 )

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