Application of MPSO-based Neural Network model in Chinese word segmentation

摘要：

In this article,introduced particle swarm optimization and multiply particle swarm optimization firstly,then modified BP neural network model through using multiply particle swarm optimization.According to above processes,the modified BP arithmetic was used in the Chinese word segmentation field. Applying BP network had achieved the prototype system of Chinese word segmentation. Based on PSO arithmetic, the prototype system made the network study training and used some samples of studying training to do some simulation experiments. The result of experiments expresses that the model of Chinese word segmentations ability obviously increased with the increasing training samples.So, the word segmentation that is proposed in this article is effective and has actual application value.

关键词： MPSO neural network Chinese word segmentation

作者: Xiaorong Cheng Dong Wang Kun Xie

作者单位: School of Computer Science and Technology North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 295-298

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）