Volume 26 Issue 5
May  2000
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LIANG Jiu-zhen, HE Xin-gui, HUANG De-shuanget al. Simple Conjugation-Gradient BP Algorithm for Feedforward Neural Networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2000, 26(5): 596-599. (in Chinese)
Citation: LIANG Jiu-zhen, HE Xin-gui, HUANG De-shuanget al. Simple Conjugation-Gradient BP Algorithm for Feedforward Neural Networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2000, 26(5): 596-599. (in Chinese)

Simple Conjugation-Gradient BP Algorithm for Feedforward Neural Networks

  • Received Date: 25 Mar 1999
  • Publish Date: 31 May 2000
  • The high dimension of the learning error function for BP networks and the difficult computation complexity are incestigated. A simple modified conjugation-gradient decent algorithm (MPARTAN) is proposed based on improving the gradient BP algorithm. That the computation complexity of this algorithm is not higher than that of the BP momentum algorithm. Compared with FR conjugation algorithm, this algorithm has better stability and fast speed quality of convergence. It is also investigated that the convergence theorems for this algorithm and comparison of the computing results by two computing examples for the promoted three algorithms: BP momentum algorithm, FR conjugation-gradient algorithm and the novel MPARTAN algorithm.

     

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