Research on Grouping-Cascaded BP Network Model

摘要：

To resolve the training problem of high dimension BP neural network with limited small samples, this paper puts forward the concept of loosely and tightly grouping-cascaded BP network model, the definition of equivalence with BP neural network, and relative theorem. On the base of constructing the groupingcascaded model which is proved equivalent to BP network, the required training sample numbers of two kinds of neural network models are compared. Finally, the feasibility and validity of the proposed grouping-cascaded BP network model are verified with simulation results.

关键词： BP neural networks grouping-cascaded network model equivalent small samples

作者: Zhiyong LU Chaojing TANG Zhiyong LU

作者单位: College of Electronic Science and Engineering National University of Defense Technology Changsha,Chi Unit 63880 LuoYang,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 425-429

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）