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libsvm工具箱,用于分类的绝佳工具,也可用于非线性回归及预测,或拟合,其中文本分类是其长项,回归性能非常好-libsvm toolbox, an excellent tool for the classification can also be used for non-linear regression and forecasting, or fitting, of which text categorization is its long entry and return to a ve
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目前公认最好的神经网络工具箱,学习性能非常好,是机器学习及人工智能,自动控制,拟合,回归预测的好工具-Currently accepted best neural network toolbox, learning performance was very good machine learning and artificial intelligence, automatic control, fit, return a good tool for forecasting
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GM(1,1)灰色预测函数,自动返回预测值,并包括残差,关联度,后验差检验。-GM (1,1) Grey forecasting function, automatic return predictive value, and includes the residuals, correlation, after test.
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一个做lssvm回归负荷预测的程序,可移植性强,简单易懂。-A return load forecasting do lssvm program.
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高斯过程回归及分类的代码,内容全,有实例,注释清晰。包括分类系列和预测回归系列,值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interest
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