Determination of Four Contents of Feedstuff Powder Using Near Infrared Spectroscopy by PLS-BP Model
LIU Bo-ping1,2,QIN Hua-jun3,LUO Xiang2,4,CAO Shu-wen3 ,WANG Jun-de1*
1. College of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094,China 2. Analytical and Testing Center of Jiangxi Province, Nanchang 330029, China 3. Key Laboratory of Food Science of MOE, Nanchang University, Nanchang 330047, China 4. Department of Chemistry, Nanchang University, Nanchang 330047, China
摘要: 建立了用偏最小二乘(partial least squares ,PLS)与人工神经网络(artificial neural networks,ANN)联用对饲料样品同时测定水分、灰分、蛋白质、磷含量的预测校正模型。光谱数据用二阶微分及标准归一化处理(SNV),用PLS法将原始数据压缩提取前10个主成分与2个特征峰值作为12个输入向量,采用单隐层的反向传播人工神经网络(Back-Propagation Network,BP),确定中间层的神经元个数为23,初始训练迭代次数为1000。PLS-BP模型对样品四个组分含量的预测决定系数(r2)分别为:0.9950,0.9980,0.9990和0.9670;样品平行扫描光谱预测值的标准偏差分别为:0.02774,0.04853,0.03292和0.02204。
关键词:近红外光谱;饲料;偏最小二乘;人工神经网络;BP网络
Abstract:Partial least squares (PLS) and artificial neural networks (ANN) prediction model for four components of feedstuff has been established with good veracity and recurrence. The spectra put into the model should be processed by second derivative and standard normal variate (SNV). Ten principal components compressed from original data by PLS and two peak values were taken as the inputs of Back-Propagation Network (BP),while four predictive targets as outputs, according to Kolmogorov theorem and experiment, and twenty three nerve cells were taken as hidden nodes. Its training iteration times was supposed to be 10 000. Prediction deciding coefficient of four components by the model are 0.9950, 0.9980, 0.9990 and 0.9670, while the standard deviation of an unknown sample scanned parallelly are 0.027 74, 0.048 53, 0.032 92 and 0.022 04.
刘波平1,2,秦华俊3,罗香2,4,曹树稳3,王俊德1* . PLS-BP法近红外光谱同时检测饲料组分的研究[J]. 光谱学与光谱分析, 2007, 27(10): 2005-2009.
LIU Bo-ping1,2,QIN Hua-jun3,LUO Xiang2,4,CAO Shu-wen3 ,WANG Jun-de1*. Determination of Four Contents of Feedstuff Powder Using Near Infrared Spectroscopy by PLS-BP Model. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(10): 2005-2009.
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