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The popular fuzzy c-means algorithm (FCM) converges to a local minimum of the objective function. Hence, different initializations may lead to different results. The important issue is how to avoid getting a bad local minimum value to improve the cluster accuracy. The particle swarm optimization (PSO) is a popular and robust strategy for optimization problems. But the main difficulty in applying PSO...
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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