Convergence of On-Line Gradient Methods for Two-Layer Feedforward Neural Networks
Received:December 27, 1999  
Key Words: on-line gradient method   feedforward neural network   convergence.  
Fund Project:Supported by the Natural Science Foundation of China
Author NameAffiliation
LI Zheng-xue Dept. of Math., Jilin University, Changchun 130023, China 
WU Wei Dept. of Math., Dalian University of Technology, Dalian 116024, China 
ZHANG Hong-wei Dept. of Math., Dalian University of Technology, Dalian 116024, China 
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Abstract:
      A discussion is given on the convergence of the on-line gradient methods for two-layer feedforward neural networks in general cases. The theories are applied to some usual activation functions and energy functions.
Citation:
DOI:10.3770/j.issn:1000-341X.2001.02.012
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