| 粒子群算法结合支持向量机回归法用于近红外光谱建模 |
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| 引用本文： | 程志颖,孔浩辉,张俊,柏文良,甘峰.粒子群算法结合支持向量机回归法用于近红外光谱建模[J].分析测试学报,2010,29(12). |
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| 作者姓名： | 程志颖 孔浩辉 张俊 柏文良 甘峰 |
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| 作者单位： | 中国烟草广东工业有限公司技术中心;中山大学化学与化学工程学院; |
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| 基金项目： | 国家自然科学基金资助项目，广东省自然科学基金资助项目，中国烟草广东工业有限公司资助项目 |
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| 摘 要： | 研究了最小二乘法支持向量机(LSSVM)应用于烟丝样品和小麦样品的近红外光谱建模,采用粒子群优化算法(PSO)优化LSSVM的参数。通过对烟草样品和小麦样品的近红外光谱建模和预测,并与常规的偏最小二乘法(PLS)比较发现,PSO-LSSVM法具有更好的预测效果和稳健性。
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| 关 键 词： | 最小二乘法支持向量机 粒子群优化算法 烟草 小麦 近红外光谱 |
Application of Particle Swarm Optimization-Least Square Support Vector Machine Regression to Modeling of Near Infrared Spectra |
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| CHENG Zhi-ying,KONG Hao-hui,ZHANG Jun,BAI Wen-liang,GAN Feng.Application of Particle Swarm Optimization-Least Square Support Vector Machine Regression to Modeling of Near Infrared Spectra[J].Journal of Instrumental Analysis,2010,29(12). |
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| Authors: | CHENG Zhi-ying KONG Hao-hui ZHANG Jun BAI Wen-liang GAN Feng |
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| Institution: | CHENG Zhi-ying1,KONG Hao-hui1,ZHANG Jun2,BAI Wen-liang2,GAN Feng2(1.Technology Centre,China Tobacco Guangdong Industrial Limited Corporation,Guangzhou 510145,China,2.School of Chemistry and Chemical Engineering,Sun Yat-sen University,Guangzhou 510275,China) |
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| Abstract: | In this paper,the application of least square support vector machine(LSSVM) to the modeling of near infrared(NIR) spectra of tobacco and wheat samples was studied.The modeling parameters for LSSVM were optimized by particle swarm optimization(PSO).Thus,a quantitative modeling of infrared spectra based on PSO-LSSVM for tobacco and wheat samples was established and was used to predict the unknown samples.The NIR spectra were divided into calibration set and prediction set.The calibration set was mainly used i... |
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| Keywords: | least square support vector machine(LSSVM) particle swarm optimization(PSO) tobacco wheat near infrared spectroscopy |
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