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svm demo source for classification
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能够实现支持向量机的界面操作，支持向量机比神经网络功能强大，能够实现分类和识别-Support vector machine (SVM) to realize the interface operation, support vector machine (SVM) is a powerful than neural network, which can achieve the classification and recognition
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SVM神经网络的数据分类预测——葡萄酒种类识别-SVM neural network data classification forecast- wine species identification
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使用svm工具箱进行分类，回归，预测，归一化，训练-Using svm toolbox for classification, regression, forecasting, normalization, training
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对最小二乘支持向量机的核函数进行参数优化，最后得到分类更加准确的分类器-For least squares support vector machine (SVM) kernel function parameter optimization, finally get a more accurate classification of classifier
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这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
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matlab中的GUI界面代码（可用于实现界面显示）和SVM支持向量机代码（最热分类方法）-Matlab GUI interface code (available for implementation interface display) and SVM support vector machine code (the hottest classification method)
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