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Fast learning algorithms for multi-layered feedforward neural network

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3 Author(s)
Min Liang ; Center for Studying & Training of Med. Apparatus, Hunan Med. Univ., Changsha, China ; Shi-Xi Wang ; Yong-Hong Luo

In this paper, the problem of fast learning algorithm for multi-layered feedforward neural network (MLFNN) is discussed. A new fast backpropagation (FB-P) learning algorithm is proposed, By the analysis of FB-P learning algorithm, a modified FB-P (MFB-P) learning algorithm is presented. Simulations are run with the problem of XOR for B-P, FB-P and MFB-P, and the corresponding results indicate that MFB-P or FB-P converges much more quickly than B-P and MFB-P has much better generalization than FB-P or B-P

Published in:

Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National

Date of Conference:

23-27 May 1994

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