NDLI: Calibration analysis on boiling point of fatty alcohols with artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Guangqin Gao Jiarong Huang
Copyright Year	2010
Description	Author affiliation: Henan Agricultural University, Zhengzhou 450002, China (Guangqin Gao; Jiarong Huang)
Abstract	Taking the boiling point of fatty alcohols for research object, the paper analyzes the relationship between the characteristic parameters of fatty alcohols and its boilling point with ANN and stepwise regression analysis. A ANN model for calibration analysis on point of fatty alcohols was created by using Wiener index, atomic position index, and molecular connectivity index as input variables and boiling point of fatty alcohols as output variable. Through training and optimum seeking, the idea network model was created, in which the model structure is 3∶3∶1, the fitting accuracy is 87.17% to 99.94% and the mean value is 97.58%. As a comparison, the fitting accuracy of regression model is 83.70% to 99.99% and the mean value is 96.82%. The results show that ANN model is better than the multivariate linear regression model. In multivariate calibration of chemical analysis, the combining use of ANN and stepwise regression analysis can improve the stability and practical applicability of the model. In performance analysis of the ANN model, the combining of visualization of qualitative analysis and the calculation precision of quantitative analysis is an effective method to overcome transition fitting data.
Starting Page	1601
Ending Page	1604
File Size	351064
Page Count	4
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training fatty alcohols Analytical models stepwise regression ANN boiling point Fitting Artificial neural networks Calibration Mathematical model Indexes calibration
Content Type	Text
Resource Type	Article

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