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3下载：
模糊神经网络实现函数逼近与分类，实现模糊规则的提取。,Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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用于人脸识别的模糊独立成分分析+主成分分析，用模糊支持向量机进行的分类。,Fuzzy Face Recognition for independent component analysis+ principal component analysis, using fuzzy support vector machine classification.
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C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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关于支持向量机分类、回归、模糊支持向量机的程序-On support vector machine classification, regression, fuzzy support vector machine procedures
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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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模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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模糊神经网络实现函数逼近与分类，实现模糊规则的提取。-Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.
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模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
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在ECM的基础上加入了模糊关系，使得分类聚类效果更好-At the basis of ECM add on fuzzy relations, classification clustering makes better
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matlab图像分类分割编程
利用matlab 的fuzzy分类为图像分类编写的matlab程序-image classification segmentation matlab programming
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基于MATLAB的模糊模式识别在癌细胞识别中的应用-Based on the MATLAB language Use computer fuzzy pattern recognition to determine the classification of cancer cells
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模糊c均值聚类算法对遥感图像分类，可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
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kfcm，为模糊核聚类算法，用于将低维的数据映射到高维进行分类，是较先进的算法-kfcm, the fuzzy kernel clustering algorithm for low-dimensional data is mapped to high-dimensional classification, is a more advanced algorithms
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A Fuzzy classifier using matlab, c++ and delphi. the source code has merged codes developed by these programming languages to do classification.
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用SVM算法实现聚类与分类的例程。内附实验数据，运行结果以及经典参考文献一篇《A New Fuzzy Cover Approach to Clustering》-SVM algorithm using clustering and classification routines. Included the experimental data, the results as well as the classic References 1 " A New Fuzzy Cover Appro
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A neuro-fuzzy method to learn fuzzy classification rules from data.
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用于算法模糊分类，对于时间序列的聚类分析有较高的利用价值-Algorithm for fuzzy classification, clustering analysis of time series for a higher use value
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模糊C均值聚类，通过设置不同的灰度，可将彩色图像分成若干区域，达到分类的目的。-Fuzzy C means clustering, by setting different grayscale, color images can be divided into several regions, to achieve the purpose of classification.
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通过matlab语言实现Fisher分类和基于核Fisher分类的设计与实现研究和模糊相似关系直接用于分类，实现结果良好，可供大家使用，互相学习。-Fisher classifier matlab language and kernel Fisher classification-based design and realization of fuzzy similarity relations for the classification, to achieve good results fo
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