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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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遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
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遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
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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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模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means al
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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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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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这是一个基于改进的免疫遗传的模糊聚类程，敬请大家下载序-This is based on improved immune genetic fuzzy clustering process, please download the sequence we
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遗传算法优化模糊聚类算法，形成全部最优，克服初始值敏感问题。-By using the genetic algorithm to optimize the fuzzy clustering, form the overall convergence, contains brief code, choice, cross, the variation, FCM algorithm, etc.
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这是一个MATLAB程序，主要实现的用遗传算法来改进模糊C－均值聚类。-This is a MATLAB program, mainly achieved using genetic algorithms to improve fuzzy C-means clustering.
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用matlab编写用遗传算法改进的模糊聚类算法的程序，-Prepared using matlab genetic algorithm fuzzy clustering algorithm procedures,
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Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
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1下载：
Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
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遗传算法改进的模糊C-均值聚类MATLAB源码。用单纯形法来做的-Improved genetic algorithm fuzzy C- means clustering MATLAB source. To do with the simplex method
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这是遗传算法改进的模糊C-均值聚类MATLAB源代码,由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
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遗传算法改进的C模糊聚类算法源程序.已运行成功，可以作适当修改。-Improved genetic algorithm fuzzy clustering algorithm C source. Has run successfully, you can make appropriate changes.
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智能计算主要程序源码，有matlab的模糊聚类图像分割，还有VC++编写的模拟退火和遗传算法。-Intelligent Computing The main program source code, there is matlab fuzzy clustering image segmentation, as well as VC++ Prepared simulated annealing and genetic algorithms.
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模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
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使用C++语言实现遗传算法和模糊C聚类的结合-C++ Implementation of genetic fuzzy clustering algorithm C
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Improved genetic algorithm, fuzzy mean clustering
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