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This paper presents a new classification algorithm on traffic state of expressway which integrates the ensemble learning and fuzzy system, which consists of two fuzzy classifiers and a speed-based classifier. The fuzzy rules of two fuzzy classifiers are developed based on expert knowledge and how to optimize the parameters in fuzzy classifiers is given. While the outputs of individual classifier are...
A method for attributes reduction in inconsistent decision tables is proposed in this paper. The discernible information in inconsistent decision tables is described with discernible vector array. The attribute reduction tree will generate based on the probability of the attributes which discern two objects. The classification of reduction table is same as that of the initial table.
Estimation of distribution algorithm (EDA) is a new evolutionary computation method based on probabilistic theory. EDA can select optimal individuals through estimating probability distribution function of a population. The capture problem among multi software robots can be solved by EDA. The capture problem involves that some pursuers pursue several evaders through part of trajectory. The trajectory...
k-means clustering has been widely applied in the field of Machine Learning and Pattern Recognition. This paper discussed the randomized algorithm of its sub problem which requires that each divided subset size has to be at least some given value. First a sample set was drawn at random from the given point, which contains some number of points of each optimal subset with high probability. Based on...
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