遗传算法在鱼粉中肉骨粉近红外光谱检测中的应用
[1] 吴迪,黄凌霞,何勇 等. 作物和杂草叶片的可见近红外反射光谱特性[J]. 光学学报,2008,28(8):1618-1622
[2] 刘飞,何勇,王莉. 黄酒糖度预测的可见近红外光谱方法研究[J]. 光学学报,2007,27(11):2054-2058
[3] Cen Haiyan,He Yong. Theory and application of near infrared reflectance spectroscopy in determination of food quality [J]. Trends Food Sci. Tech.,2007,18(2):72-83
[4] Roggo Y,Pascal C,Lene M et al.. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies [J]. J. Pharm. Biomed. Anal.,2007,44(3):683-700
[5] 陆婉珍,袁洪福,徐广通 等. 现代近红外光谱分析技术[M]. 北京:中国石化出版社,2007
Lu Wanzhen,Yuan Hongfu,Xu Guangtong et al.. Modern Near Infrared Spectroscopy Analytical Technology [M]. Beijing:Chinese Petrochemical Industry Press,2007
[6] 陈孝敬,吴迪,虞佳佳 等. 一种用于可见近红外光谱特征波长选择的新方法[J]. 光学学报,2008,28(11):2153-2158
[7] Nurns D A,Ciurczak E W. Handbook of Near infrared Analysis [M]. New York:Marcel Dekker,2001
[8] 褚小立,袁洪福,陆婉珍. 近红外分析中光谱预处理及波长选择方法进展与应用[J]. 化学进展,2004,16(4):528-542
Chu Xiaoli,Yuan Hongfu,Lu Wanzhen. Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique [J]. Progress In Chemistry,2004,16(4):528-542
[9] 褚小立,袁洪福,王艳斌 等. 遗传算法用于偏最小二乘方法建模中的变量筛选[J]. 分析化学,2001,29(4):437-442
Chu Xiaoli,Yuan Hongfu,Wang Yanbin et al.. Variable selection for partial least squares modeling by genetic algorithms [J]. Chinese Journal of Analytieal Chemistry,2001,29(4):437-442
[10] Leardi R,Seasholtz M B,Pell R J. Variable selection for multivariate calibration using a genetic algorithm:prediction of additive concentrations in polymer films from Fourier transform-infrared spectral data [J]. Anal. Chim. Acta.,2002,461(2):189-200
[11] Ghasemi J,Niazi A,Leardi R. Genetic-algorithm-based wavelength selection in multicomponent spectrophotometric determination by PLS:application on copper and zinc mixture [J]. Talanta,2003,59(2):311-317
[12] 邹小波,赵杰文. 用遗传算法快速提取近红外光谱特征区域和特征波长[J]. 光学学报,2007,27(7):1316-1321
[13] 李艳肖,邹小波,董英. 用遗传区间偏最小二乘法建立苹果糖度近红外光谱模型[J]. 光谱学与光谱分析,2007,27(1):2001-2004
Li Yanxiao,Zou Xiaobo,Dong Ying. Near infrared determination of sugar content in apples based on GA-iPLS [J]. Spectroscopy and Spectral Analysis,2007,27(1):2001-2004
[14] Ying Yibin,Liu Yande. Nondestructive measurement of internal quality in pear using genetic algorithms and FT-NIR spectroscopy [J]. J. Food Eng.,2008,84(2):206-213
[15] 刘辉军,吕进,林敏. 基于遗传算法的波长选择方法在绿茶近红外光谱分析模型中的应用[J]. 分析测试学报,2007,26(5):679-681
Liu Huijun,Lü Jin,Lin Min. Application of characteristic wavelength selection method in NIR model of green tea based on genetic algorithms [J]. J. Instrumental Anal.,2007,26(5):679-681
[16] 曾立波,贺志平. 遗传算法在近红外光谱分析波长及预处理方法同步选择中的应用[J]. 分析仪器,2006,3:23-26
Zeng Libo,He Zhiping. Study on the application of genetic algorithm for synchronous selection of wavelength and spectral data pretreatment method in near-infrared spectrometric analysis [J]. Analytical Instrumentation,2006,3:23-26
[17] 祝诗平,王一鸣,张小超 等. 基于遗传算法的近红外光谱谱区选择方法[J]. 农业机械学报,2004,35(5):152-156
Zhu Shiping,Wang Yiming,Zhang Xiaochao et al.. Region selection method of near infrared spectrum based on genetic algorithm [J]. Transactions of The Chinese Society of Agricultural Machinery,2004,35(5):152-156
[18] 牛智有. 鱼粉、精料补充料及其中肉骨粉含量的近红外漫反射光谱分析[D]. 北京:中国农业大学,2005
Niu Zhiyou. The NIRS Analysis of Fish Meal,Concentrate Supplement and MBM Content Inside [D]. Beijing:China Agricultural University,2005
[19] 李民赞. 光谱分析技术及其应用[M]. 北京:科学出版社,2006
Li Minzan. Spectral analysis technology and application [M]. Beijing:Science Press,2006
[20] Chen Quansheng,Zhao Jiewen,Chaitep Sumpun et al.. Simultaneous analysis of main catechins contents in green tea (Camellia sinensis (L.)) by Fourier transform near infrared reflectance (FT-NIR) spectroscopy [J]. Food Chemistry,2009,113(4):1272-1277
湛小梅, 韩鲁佳, 刘贤, 杨增玲. 遗传算法在鱼粉中肉骨粉近红外光谱检测中的应用[J]. 光学学报, 2009, 29(10): 2800. Zhan Xiaomei, Han Lujia, Liu Xian, Yang Zengling. Genetic Algorithm Used for Predicting Meat and Bone Meal Content in Fishmeal by Near Infrared Spectroscopy[J]. Acta Optica Sinica, 2009, 29(10): 2800.