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Attractor-based trust-region algorithm for efficient training of multilayer perceptrons

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1 Author(s)
Jaewook Lee ; Dept. of Ind. Eng., Pohang Univ. of Sci. & Technol., South Korea

A new training algorithm for multilayer perceptrons is proposed. The first phase is a trust region-based local search for fast training of networks. The second phase is an attractor-based global search for escaping local minima. Benchmark results show that the proposed algorithm outperforms previously reported existing techniques.

Published in:

Electronics Letters  (Volume:39 ,  Issue: 9 )