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用于人脸识别的主成分分析和模糊支持向量机程序，通过测试，能完成工作,Face Recognition for the principal component analysis and fuzzy support vector machine procedures, to pass the test to complete the work
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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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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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一个机器学习算法软件包，包括神经网络，模糊逻辑，支持向量机，采用MATLAB平台实现-A package of machine learning algorithms, including neural networks, fuzzy logic, support vector machine, using MATLAB platform
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模糊支持向量机向量机的国外文章，可得到更精确的仿真图形-Fuzzy Support Vector Machine SVM foreign article can be a more accurate simulation graphics
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FSVM在人眼状态识别中的应用,一种结合gabor滤波和模糊支持向量机进行人眼状态检测的方案-FSVM in the human eye pattern recognition application, a combination of gabor filtering and fuzzy support vector machine is the human eye state inspection programs to
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支持向量机自动提取模糊规则，仿真结果验证了其可靠性-The use of support vector machine automatically extract fuzzy rules, simulation results verify the reliability of the method
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模糊支持向量机算法研究，将模糊隶属度函数与最小二乘支持向量机相结合，来抑制异常点和噪声的影响-RESEARCH ON FUZZY SUPPORT VECTOR MACHINE
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利用模糊支持向量机对sinc函数进行仿真验证程序-Fuzzy support vector machine
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这是一些基于模糊支持向量机多分类算法的应用的一些论文。-These are based on fuzzy support vector machine multi-classification algorithm of the application of some of the papers.
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首先用PCA对ORA人脸图像降维，然后用模糊支持向量机对提取的特征向量进行分类，识别率较高。-First using PCA for dimensionality reduction ORA face image, and then use fuzzy support vector machine to classify the extracted feature vectors, the recognition rate is higher.
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：对每一个训练点都定义点模糊度，利用其隶属函数所包含的信息量来确定模糊度，在
此基础上对传统的支持向量机算法进行了改进，提出了基于模糊支持向量机的医学图像分类
技术。-: For each training point of ambiguity points are defined using the membership function to determine the amount of information contained ambiguity, on the basis o
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模糊支持向量机，十分难找到的程序，里面包含模糊隶属度的计算-Fuzzy support vector machine, very difficult to find the program, which includes the calculation of fuzzy membership
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自己编写的模糊支持向量机程序，是线性的，没有用到核函数，但具有一定的参考价值。-I write this simple Fuzzy support vector machine program by myself. It is a linear one ,and I did not use the kernel function, but it has a certain reference value.
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支持向量机模型研究及应用，本文所做的工作主要在如下几个方面：
1)运用模糊集理论(FST)和概率理论对支持向量机进行研究，构造出了概率模糊支
持向量机(PFSVM)模型，既达到了减少或者消除外围异样点对于整个训练模型的影响，-Support vector machine model and application, this work mainly in the following aspects: 1) the use of fuzzy set theory (FST) and the
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Fuzzy support vector machine for regression estimation
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SVM改进算法，fuzzy support vector machine-Improved SVM algorithm, fuzzy support vector machine
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重要的模糊支持向量机训练算法，对研究模糊支持向量机很有帮助-Important fuzzy support vector machine training algorithm, the study of fuzzy support vector machine is very helpfu
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模糊支持向量机算法，能得到重要的仿真图形。-Fuzzy support vector machine algorithm, can get important simulation graphics
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模糊支持向量机例程，感觉还可以 有需要的 可以下载尝试(Fuzzy support vector machine routine)
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