A Fast OBS Pruning Algorithm Based on Pseudo-Entropy of Weights

摘要：

A fast OBS pruning algorithm based on pseudo-entropy of weights is proposed to resolve the problems of the number of hidden neurons is difficult to be determined in neural networks and low pruning speed in conventional OBS (Optimal Brain Surgeon) pruning algorithm. The algorithm makes the network constrain the distribution of weight automahcally during the training process, obtain a simpler structure of network, and improve the speed of pruning. The result of experimental shows that the structure of network has been simplified; the generalization capability of network and the speed of pruning have been improved greatly by using the algorithm mentioned above.

关键词： BP neural network pseudo-entropy of weights OBS pruning algorithm generalization capability

作者: Shouling Zhao Quan Liu Binbin Zhang

作者单位: School of Computer Science and Technology Soochow University Suzhou, Jiangsu, 215006, 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: 451-455

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）