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A global optimization algorithm for neural network training

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1 Author(s)
Lianhui Chen ; Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia

The main thrust of the research is to develop a global optimization algorithm tailored for multilayer feedforward back-propagation neural network training. The goal in designing the algorithm is to tackle the problem of reaching nonoptimal network configurations due to being trapped by a saddle point or a local minimum so that continuous learning through automatic online retraining is feasible.

Published in:

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 Oct. 1993