搜索资源列表
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SVM MATLAB SVM MATLAB -Support Vector Machine SVM and nuclear assembly MATLAB function
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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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支持向量机的画图程序。能够很好的将识别到的不同类型分量，可视化。-Support vector machine (SVM) drawing program. Can very good will to identify the different types of component, visualization.
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支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
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利用最小二乘支持向量机原理，创建了LSSVM预测模型-The principle of least squares support vector machine, created LSSVM prediction model
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it gives a demo on how support vector machine works
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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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基于最小二乘支持向量机的模式识别，特征向量为滚动轴承的能量百分比和峭度系数-Pattern recognition based on least squares support vector machine (SVM), the percentage of energy eigenvector for rolling bearing and kurtosis coefficient
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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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基于支持向量机的对于上证指数的时间序列的预测，附有相关的论文期刊-Support vector machine for forecasting time series of Shanghai Composite Index and related papers
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基于小波分析的支持向量机算法，可实现图像识别-The support vector machine (SVM) algorithm based on wavelet analysis program
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基于matlab的支持向量机工具箱以及支持向量机程序-Based on matlab SVM toolbox, and support vector machine procedures
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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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支持向量机回归的程序，实现预测，在matlab平台上实现模型训练和预测(Support vector machine regression program to realize prediction)
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