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The limitation and improvement of MKGA-BP are mainly discussed in this paper. The improved algorithm could simplify the original parameters by increasing the amount of random entries. The results of the improved algorithm can achieve the desired goal with a lot of experiments. Then the new algorithm is applied to the model of Chinese word segmentation. It is proved that the improved algorithm is better...
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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