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软件学报  2000 

Super-Linearly Convergent BP Learning Algorithm for Feedforward Neural Networks
前馈网络的一种超线性收敛BP学习算法

Keywords: Feedforward neural network,BP learning algorithm,convergence,super-linear c onvergence
前馈神经网络
,BP学习算法,收敛性,超线性收敛.

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Abstract:

In this paper, some shortages of traditional BP learning algorithm are analyzed. To avoid these shortages, a modified BP learning algorithm is proposed. It is s hown that this algorithm is super-linearly convergent under certain conditions. This algorithm can overcome some shortages of traditional BP learning algorithm , and has the same order of computation complexity as the traditional BP algorit hm. Finally, two computing examples are given. Simulation results illustrate tha t this algorithm is highly effective and practicable.

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