| 量子进化算法在苹果漫透射近红外光谱分析中的应用 |
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| 引用本文： | 李军良,王从庆. 量子进化算法在苹果漫透射近红外光谱分析中的应用[J]. 浙江大学学报(农业与生命科学版), 2011, 37(4). DOI: 10.3785/j.issn.1008-9209.2011.04.015 |
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| 作者姓名： | 李军良 王从庆 |
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| 作者单位： | 南京航空航天大学自动化学院,江苏南京,210016 |
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| 基金项目： | 江苏省科技支撑计划资助项目 |
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| 摘 要： | 为了研究量子进化算法(quantum-inspired evolutionary algorithm,QEA)在苹果浸透射近红外光谱分析中的应用,先用反向间隔偏最小二乘法(backward interval partial least squares,BiPLS)对光谱信息区间初步定位,再采用QEA算法选择波长点,建立糖度预测模型；同时采用遗传算法(genetic algorithm,GA)选取波长点建立预测模型,并对2种算法的结果进行比较.结果表明:运行GA算法建立的GA-PLS模型变量数为110,校正均方根误差(root mean standard error of calibration,RMSEC)为0.582 0,预测均方根误差(root mean standard error of prediction,RMSEP)为0.612 3；运行QEA算法建立的QEA-PLS模型变量数为194,RMSEC为0.492 7,RMSEP为0.526 0,说明量子进化算法用于苹果漫透射近红外光谱分析可有效提高模型预测精度,相比遗传算法表现出更好的寻优能力.
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| 关 键 词： | 量子进化算法 漫透射 近红外光谱 变量筛选 |
Application of quantum-inspired evolutionary algorithm in the analysis of near infrared diffuse transmission spectroscopy of apples |
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| LI Jun-liang,WANG Cong-qing. Application of quantum-inspired evolutionary algorithm in the analysis of near infrared diffuse transmission spectroscopy of apples[J]. Journal of Zhejiang University(Agriculture & Life Sciences), 2011, 37(4). DOI: 10.3785/j.issn.1008-9209.2011.04.015 |
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| Authors: | LI Jun-liang WANG Cong-qing |
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| Affiliation: | LI Jun-liang,WANG Cong-qing(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China) |
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| Abstract: | To study the application of quantum-inspired evolutionary algorithm(QEA) in the analysis of near infrared(NIR) diffuse transmission spectroscopy of apples,first,spectroscopy regions were preselected by using the backward interval partial least squares(BiPLS).Second,the variables were selected with QEA,and QEA-PLS model was built.Meanwhile,genetic algorithm(GA)-PLS model was developed to contrast with QEA-PLS model.After running GA and QEA 10 times separately,the two best models were chosen from the 10 GA-PL... |
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| Keywords: | quantum-inspired evolutionary algorithms diffuse transmission near infrared spectroscopy variable selection |
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