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基于改进鲸鱼优化算法的近红外光谱波长变量选择方法及其应用
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作者单位
王仲雨,高美凤 江南大学 轻工过程先进控制教育部重点实验室物联网工程学院江苏 无锡 214122 
基金项目:国家自然科学基金资助项目(61833007)
中文摘要:该文在群体智能的鲸鱼优化算法(WOA)基础上,提出了一种改进的鲸鱼优化算法(iWOA)用于近红外光谱波长的选择。首先引入混沌策略初始化种群,避免算法过早陷入局部最优;其次引入一种非线性时变Sigmoid传递函数和贪心算法思想,提升算法探优能力,使得模型获得更好的预测精度。为验证算法的有效性,以玉米脂肪、蛋白质、淀粉、水4个指标的近红外光谱数据进行偏最小二乘(PLS)建模分析,并与其他算法进行对比。结果表明,iWOA算法能在最短时间内,有效地筛选出波长变量,降低模型的复杂度,提升模型的预测精度。在玉米脂肪、蛋白质、淀粉、水含量的预测上,与全光谱相比,模型的预测集均方根误差(RMSEP)分别从0.077 2、0.122 4、0.334 4、0.059 5降至0.033 2、0.050 7、0.139 2、0.004 4,预测精度分别提升了57.0%、58.6%、58.3%、92.6%;算法选出的波长数目分别为:84、69、87、66。
中文关键词:近红外光谱  波长选择  改进鲸鱼优化算法  传递函数  贪心算法思想
 
Selection of Near Infrared Spectral Wavelength Variables Based on Improved Whale Optimization Algorithm and Its Application
Abstract:Based on the whale optimization algorithm(WOA) of swarm intelligence,an improved whale optimization algorithm(iWOA) for the selection of near-infrared spectral wavelengths was proposed. Firstly,a chaotic strategy was introduced to initialize the population to avoid the algorithm from falling into local optimization prematurely. Secondly,a nonlinear time-varying Sigmoid transfer function and greedy algorithm were introduced to improve the algorithm's optimization ability and make the model obtain better prediction accuracy. In order to verify the effectiveness of the algorithm,the near-infrared spectral data of four indicators for corn fat,protein,starch and water were used for PLS modeling and analysis,and compared with other algorithms. The results showed that the iWOA algorithm could effectively filter out the wavelength variable in the shortest possible time,reduce the complexity of the model and improve the prediction accuracy of the model. The root mean square errors of prediction(RMSEPs) of the model decreased from 0.077 2,0.122 4,0.334 4 and 0.059 5 to 0.033 2,0.050 7,0.139 2 and 0.004 4,and the prediction accuracy was improved by 57.0%,58.6%,58.3% and 92.6%,respectively,compared with those of the full spectrum. The numbers of wavelengths selected by the algorithm were 84,69,87 and 66,respectively.
Key Words:near-infrared spectroscopy  wavelength selection  improved whale optimization algorithm  transfer function  greedy thinking
引用本文:王仲雨,高美凤.基于改进鲸鱼优化算法的近红外光谱波长变量选择方法及其应用[J].分析测试学报,2023,(1):37-44.
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