Adaptive neuron-fuzzy inference system combined with principal components analysis for determination of compound thiamphenicol powder on near-infrared spectroscopy

	Adaptive neuron-fuzzy inference system combined with principal components analysis for determination of compound thiamphenicol powder on near-infrared spectroscopy
其他题名	论文其他题名
	Qu N.; Zhu M. C.; Ren Y. L.; Dou S.
	2012
发表期刊	Journal of the Taiwan Institute of Chemical Engineers
ISSN	1876-1070
卷号	43 期号:4 页码:566-572
摘要	The adaptive neuron-fuzzy inference system (ANFIS) is an effective modeling tool developed recently. It has gained much interest in solving classification and function approximation. In this paper, a new application based on ANFIS was presented for nondestructive determination of thiamphenicol powder drug with near-infrared (NIR) spectroscopy. The principal component analysis (PCA) technique was applied to extract relevant features from a number of spectral data in order to reduce the input variables of the ANFIS. The generated scores of the principal components (PCs) subsequently were used as the input variables of the ANFIS instead of the spectra data and constituted the principal component analysis-adaptive neuron-fuzzy inference system (PCA-ANFIS) model. A hybrid-learning algorithm which combined the least squares method and the gradient descent method was applied to optimize the parameters of PCA-ANFIS. Various optimum PCA-ANFIS models based on the conventional spectra and pretreated spectra (standard normal variate (SNV), multiplicative scatter correction (MSC) and the first-derivative) were established and compared. Experiment results indicated that the PCA-ANFIS model obtained from data sets achieved satisfactory accuracy, and the PCA-ANFIS approach with MSC pretreated spectra was found that it provided the best results. In order to present the advantages of PCA-ANFIS, the principal component regression (PCR) was also used, which was compared with PCA-ANFIS. Experiment results showed that the proposed PCA-ANFIS was more efficient than PCR. (C) 2012 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
收录类别	SCI
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/24630
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Qu N.,Zhu M. C.,Ren Y. L.,et al. Adaptive neuron-fuzzy inference system combined with principal components analysis for determination of compound thiamphenicol powder on near-infrared spectroscopy[J]. Journal of the Taiwan Institute of Chemical Engineers,2012,43(4):566-572.
APA	Qu N.,Zhu M. C.,Ren Y. L.,&Dou S..(2012).Adaptive neuron-fuzzy inference system combined with principal components analysis for determination of compound thiamphenicol powder on near-infrared spectroscopy.Journal of the Taiwan Institute of Chemical Engineers,43(4),566-572.
MLA	Qu N.,et al."Adaptive neuron-fuzzy inference system combined with principal components analysis for determination of compound thiamphenicol powder on near-infrared spectroscopy".Journal of the Taiwan Institute of Chemical Engineers 43.4(2012):566-572.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Qu-2012-Adaptive neu（810KB）			开放获取	--	浏览下载