基于相似性度量的改进KS算法对近红外光谱分析模型的影响研究

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英文篇名：Influence of Similarity Measure Based Improved KS Algorithm on Near-Infrared Spectroscopy Analysis Model 作者：高云飞 ; 付霖宇 ; 瞿军 ; 王菊香 ; 邢志娜 ; 翁新华 英文作者：GAO Yun-fei;FU Lin-yu;QU Jun;WANG Ju-xiang;XING Zhi-na;WENG Xin-hua;Naval Aviation University;No.91515 Unit of PLA; 关键词：近红外光谱分析 ; 相似性度量 ; 模型传递 ; 多元校正模型 ; KS算法 ; 样本划分 英文关键词：near-infrared spectroscopy analysis;;similarity measure;;model transfer;;multivariate correction model;;KS algorithm;;sample partition 中文刊名：DGKQ 英文刊名：Electronics Optics & Control 机构：海军航空大学;中国人民解放军91515部队; 出版日期：2018-12-03 11:55 出版单位：电光与控制 年：2019 期：v.26;No.252 基金：国家自然科学基金(51605487);; 山东省自然科学基金(ZR 2016FQ03) 语种：中文; 页：DGKQ201906004 页数：5 CN：06 ISSN：41-1227/TN 分类号：22-25+30

摘要

研究近红外光谱分析模型中的样本有效划分问题,针对经典KS算法依据距离度量描述高维度光谱数据间差异时效果不尽人意甚至失去意义的问题,结合目前相似性度量方法的不足,构造出一种新的相似性度量函数,采用光谱特征和性质特征相结合的方式计算样本间差异,提出一种改进的KS算法以寻求样本差异的最佳表达方式。通过与其他改进方法的对比,从有效性和对近红外光谱分析模型的影响两方面对所提改进算法进行分析,验证了所提算法的合理性和优越性。
        The effective sample partition in the near-infrared spectroscopy model is studied.When classical Kennard Stone(KS) algorithm uses the distance metric to describe the difference between high-dimensional spectral data?the effect is unsatisfactory or even meaningless.To solve the problem?and considering the shortcomings of current similarity measurement methods?we constructed a new similarity measure function.The spectral features and property features were combined to calculate the difference between the samples.An improved KS algorithm was thus proposed to find the best expression of sample difference.The improved algorithm was analyzed from the aspects of effectiveness and the impact on the near-infrared spectroscopy model by comparing with other improved methods?and the rationality and superiority of the proposed algorithm were verified.

引文

[1] PENG Y F?LUO H P?LUO X N?et al.SPXY sample classification method and successive projections algorithm combined with near-infrared spectroscopy for the determination of total sugar content of southern Xinjiang jujube[J].Advanced Materials Research?2014?1030/1031/1032:352-356.
    [2] 詹雪艳,赵娜,林兆洲,等.校正集选择方法对于积雪草总苷中积雪草苷NIR定量模型的影响[J].光谱学与光谱分析,2014?34(12):3267-3272.
    [3] 李华,王菊香,邢志娜,等.改进的KS算法对近红外光谱模型传递影响的研究[J].光谱学与光谱分析,2011?31(2):362-365.
    [4] 潘国锋.基于K-S算法的水质硝酸盐含量光谱检测方法研究[J].光谱实验室,2011?28(5):2700-2704.
    [5] 梁晨.近红外光谱多元校正模型传递方法的研究[D].北京:北京化工大学,2016.
    [6] 王菊香,孟凡磊,刘林密,等.样品选择结合分段直接校正法和偏最小二乘法用于近红外光谱分析模型传递研究[J].兵工学报,2016?37(1):91-96.
    [7] LIANG C?ZHAO Z?CAO Y T?et al.A new study of calibration model transfer method for near-infrared spectral analysis[J].Spectroscopy and Spectral Analysis?2017?37(5):1587-1594.
    [8] 王晓阳,张洪渊,沈良忠,等.基于相似性度量的高维数据聚类算法研究[J].计算机技术与发展,2013?23(5):30-33.
    [9] 陈海燕,刘晨晖,孙博.时间序列数据挖掘的相似性度量综述[J].控制与决策,2017?32(1):1-10.
    [10] 李海林,郭崇慧.时间序列数据挖掘中特征表示与相似性度量研究综述[J].计算机应用研究,2013?30(5):1285-1291.