遗传算法在鱼粉中肉骨粉近红外光谱检测中的应用

Xiaomei Zhan,Lujia Han,Xian Liu,Zengling Yang

Guangxue Xuebao/Acta Optica Sinica（2009）

Cited 2|Views1

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Abstract

为了研究近红外光谱模型的优化方法,提高模型的精度.利用遗传算法对64个掺加了肉骨粉的位粉样品近红外光谱进行变量筛选,采用偏最小二乘法回归建模.并用21个样品进行外部验证.遗传算法共选取310个波长变量,相对于全谱的1556个变壁减少了80%,与全谱范围的偏最小二乘法相比,交互验证相关系数(R_(CV))从0.80提高剑0.90,交.巨验证均方根误差从5.22%降低到3.62%,预测相关系数(R_V )从0.91提高到0.96,预测均方根误差从3.85%降低到2.95%.模型的稳健性和预测精度都显著提高.试验结果表明遗传算法可以改善近红外光谱法预测鱼粉中肉骨粉含量的效果.

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Key words

Fishmeal,Genetic algorithm,Measurement,Meat and bone meal,Near infared spectrocscpy

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