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一种多层前馈神经网络的快速修剪算法
Fast unit pruning algorithm for multilayer feedforward network design
【摘要】 针对目前神经网络在应用中难于确定隐层神经元数的问题,提出了一种神经网络结构的快速修剪算法.该算法在最优脑外科算法(OBS)的基础上,通过直接剔除冗余的隐层神经元实现神经网络结构自组织设计.实验结果表明,快速修剪算法与常规的最优脑外科算法相比,具有更简单的网络结构和更快的学习速度.
【Abstract】 For it is difficult to determine the numbers of hidden neurons in the application of neural networks,a fast unit pruning algorithm for the structure of neural network was presented in the paper.The algorithm which based on optimal brain surgeon(OBS)eliminated the unneeded hidden neurons directly,in which way carried out the self-organization design on the structure of neural networks.The results of comparative studies with OBS showed that the fast unit pruning algorithm could reduce both neural network complexity and training time.
【关键词】 最优脑外科算法;
神经网络修剪算法;
自组织设计算法;
【Key words】 optimal brain surgeon; neural network pruning; self-organization design;
【Key words】 optimal brain surgeon; neural network pruning; self-organization design;
【基金】 国家自然科学基金资助项目(60304012,60674066);北京市科技新星计划资助项目(H020821210120)
- 【文献出处】 智能系统学报 ,Caai Transactions on Intelligent Systems , 编辑部邮箱 ,2008年02期
- 【分类号】TP183
- 【被引频次】28
- 【下载频次】306