A New Parallel Back-Propagation Algorithm for Neural Networks

摘要：

The BP neural network is one of the most widely used neural networks.It uses the back-propagation algorithm for training, and the algorithm has the disadvantage of slow convergence and long training time.In this paper, a parallel BP neural network algorithm with a balancing scheme of dynamic load is presented in order to reduce the training time of large scale neural networks.The experimental results indicate that the proposed algorithm has the feature of speeding-up computation for the large scale neural networks.

关键词： BP neural network parallel algorithm dynamic load balancing

作者: JI Peirong WANG Peng ZHAO Qin ZHAO Li

作者单位: College of Electrical Engineering and Renewable Energy China Three Gorges University Yichang,P.R.Chi Department of Computer Engineering Hunan College of Information Wangcheng,P.R.China

会议类型: 国际会议

会议名称: 2011 IEEE International Conference on Grey System and Intelligent Services Joint with the 15th WOSC International Congress on Cybernetics and System(2011 IEEE灰色系统与智能服务国际会议暨系统与控制世界组织第15届年会)

会议地点: 南京

会议语种:英文

页码: 816-819

在线出版日期: 2011-09-15（万方平台首次上网日期，不代表论文的发表时间）