会议专题

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

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.

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

Shouling Zhao Quan Liu Binbin Zhang

School of Computer Science and Technology Soochow University Suzhou, Jiangsu, 215006, China

国际会议

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)

沈阳

英文

451-455

2010-03-27(万方平台首次上网日期,不代表论文的发表时间)