Application of MPSO-Based Neural Network Model in Chinese Word Segmentation

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 segmentation´s 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.