基于串-并行计算BP网络拓扑结构的研究与实现

Study and Implementation of BP Network Based on Serial-parallel Computing Topology

  • 摘要: 在传统BP网络拓扑结构及学习算法的理论分析基础上,提出了一种更接近人类大脑思维方式的采用串一并行计算构造的神经网络拓扑结构的方法:将样本特征三大问题中的"排序"问题的解决体现在网络的拓扑结构上,有效地提高了神经网络的学习速度和识别精度。

     

    Abstract: The topology of an artificial neural network (ANN), characterized by connectionism, is an important factor which affects the function and the performance of ANN. In this paper, based on analysis of some existing neural network models, a method for constructing BP networks using serial-parallel computing is proposed. "Ordering", one of the three sample feature problems, is solved topologically. Analysis shows that precision and learning speed of ANN are enhance remarkably.

     

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