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基于LSSVM的色散曲线拟合
引用本文:陈修芳.基于LSSVM的色散曲线拟合[J].大学物理实验,2013(5):101-102.
作者姓名:陈修芳
作者单位:武汉轻工大学,湖北武汉430023
基金项目:武汉工业学院校基金资助(2011Y39)
摘    要:本文利用最小二乘支持向量机对三棱镜色散实验数据进行拟合,结果表明在小样本数据的情况下,支持向量机拟合比多项式拟合的效果好.

关 键 词:磁滞回线  样条  拟合

The Dispersion Curve Fitting Based on LSSVM
CHEN Xiu-fang.The Dispersion Curve Fitting Based on LSSVM[J].Physical Experiment of College,2013(5):101-102.
Authors:CHEN Xiu-fang
Institution:CHEN Xiu-fang (Wuhan Polytechnic University, Hubei Wuhan 430023)
Abstract:The experimental data of prism dispersive is fitted by the least squares method of support vector machine, the results showed that the effect of support vector machine fitting is better than polynomial fitting in the ease of small samples.
Keywords:hysteresis loop  sample  fitting
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