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基于遗传算法的动态模糊聚类
基于遗传算法的动态模糊聚类-dynamic fuzzy clustering based on genetic algorithm dynamic fuzzy clustering
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基于遗传聚类的彩色图像分割,用caj 打开，很好的毕业论文-based on genetic clustering color image segmentation, PRODUCTS opened with a good thesis
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本人的期刊论文,研究蚁群聚类算法与遗传算法的融合,实践证明效果显著-my journal articles, research Ant clustering algorithm and genetic algorithm integration, and practice has proven remarkably
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几种重要的聚类程序，如动态聚类，模糊聚类，以及一个遗传算法程序-clustering several important processes, such as dynamic clustering, fuzzy clustering, as well as a Genetic Algorithm
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自己编写的基于直方图的遗传聚类算法，用于图象分割。-prepared based on their genetic histogram clustering algorithm for image segmentation.
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遗传算法和模糊C-均值聚类相结合的MATLAB程序-Combination of genetic algorithms and fuzzy C-means clustering MATLAB program
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一个用VC编写的聚类案例，可以实现C聚类、模糊聚类和应用遗传算法对样品进行聚类分析
-Written in a cluster with VC cases, can be achieved C clustering, fuzzy clustering and genetic algorithm for cluster analysis of samples
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This simulation demonstrates the use of the PMSM in a closed-loop speed and current control on a 1.1 kW 3000 rpm industrial motor. A three-phase motor rated 1.1 KW, 220 V, 3000 rpm is fed by a PWM inverter. In this simulation, the whole system is bui
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Genetic algorithm based clustering
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介绍了动态聚类方法在旋转机械故障诊断中的应用，该方法结合了遗传算法，去除不必要的特征量-Dynamic clustering method introduced in the rotating machinery fault diagnosis, the method combines the genetic algorithm, the feature of removing unnecessary
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文章中主要介绍了遗传算法和模糊聚类相结合在特征提取中选取最有特征向量，极其在故障诊断应用中的优越性。-Article introduces the genetic algorithm and the combination of fuzzy clustering in the feature extraction, select the best feature vector, most in the superiority of fault diagnosis applications.
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Fast technique for unit commitment by genetic
algorithm based on unit clustering
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vc++开发的图像分类，包括聚类分析，模糊聚类，遗传算法聚类等-vc++ Developed image classification, including cluster analysis, fuzzy clustering, genetic
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61 - A Genetic Algorithm Based Ensemble Approach for Categorical Data Clustering.rar
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Improved genetic algorithm, fuzzy mean clustering
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Clustering analysis based on Euclidean distance, Can realize the two-dimensional data clustering, Genetic algorithm based reactive power optimization.
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Clustering by MATLAB GA tool box
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Can realize the two-dimensional data clustering, Genetic algorithms using MATLAB path planning, Energy entropy calculation.
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Genetic clustering. v v v v v useful
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