Abstract：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.
梁久祯, 何新贵, 黄德双. 前馈神经网络的一种简单共轭梯度学习算法[J]. 北京航空航天大学学报, 2000, 26(5): 596-599.
LIANG Jiu-zhen, HE Xin-gui, HUANG De-shuang. Simple Conjugation-Gradient BP Algorithm for Feedforward Neural Networks. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2000, 26(5): 596-599.
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2000, Vol. 26 
