Two-Phase Pattern Search-based Learning Method for Multi-layer Neural Network
Author:
Affiliation:
1. Faculty of Engineering, Toyama University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
http://www.jstage.jst.go.jp/article/ieejeiss/124/3/124_3_842/_pdf
Reference23 articles.
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2. (3) S. Haykin: Neural Networks: A Comprehensive Foundation, Macmillan Publishing Company (1994)
3. (4) C. B. Owen and A. M. Abunawass: “Application of simulated annealing to the backpropagation model improves convergence”, Proc. of the SPIE conference on the Science of Artificial Neural Networks II, Vol. 1966, pp. 269-276, Orlando, FL, USA (1993-8)
4. (5) J. F. Kolen: “Faster learning through a probabilistic approximation algorithm”, Proc. of IEEE International Conference on Neural Networks, pp. 335-341, San Diego, California (1988-7)
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