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ls_svr

于 2016-03-04 发布 文件大小:5KB
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  最小二乘支持向量机是基于统计学习对小样本、非线性建模的一种完善的方法,本算法,实现了最小二乘支持向量机的回归问题的应用(LSSVM are based on small samples statistical learning, a well-established method of nonlinear modeling of this algorithm, the least squares support vector machine regression Application)

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ls_svr.m,17341,2015-10-08

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