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For the research of Chinese word segmentation, the BP algorithm model has a lot of defects such as low convergent velocity, easily falling into local minimum, low velocity and efficiency. In this paper, we proposed a new particle swarm neural network algorithm (NPSO-BP), and used it in Chinese word segmentation. The results show that the speed of the segmentation algorithm is obviously faster than...
The Chinese word segmentation based on the improved particle swarm optimization (PSO) neural networks is discussed in this paper. Firstly, a solution is obtained by searching globally using FPSO (fuzzy cluster particle swarm optimization) algorithm, which has strong parallel searching ability, encoding real number, and optimizing the training weights, thresholds, and structure of neural networks....
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