Nondestructive quantitative analysis of compound paracetamol and diphenhydramine hydrochloride powder using RBF networks

Author

Zheng, Hong ; Wan, Li-Ming ; Jiang, Jing-Qing ; Liang, Yan-Chun

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China

Volume

7

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4106

Abstract

A method for simultaneous analysis of the two components of compound paracetamol and diphenhydramine hydrochloride powdered drugs on near-infrared (NIR) spectroscopy is developed by using a radial basis function (RBF) network. Nearest neighbor-clustering algorithm is used as the learning algorithm of RBF network. Comparisons of the results obtained from the RBF models with those from BP models show that it is feasible to use the RBF network in nondestructive quantitative analysis of the components of drugs.

Keywords

chemical analysis; drugs; infrared spectra; learning (artificial intelligence); organic compounds; radial basis function networks; spectroscopy computing; NIR spectroscopy; RBF networks; drug components; learning algorithm; near-infrared spectroscopy; nearest neighbor-clustering; nondestructive quantitative analysis; paracetamol-diphenhydramine hydrochloride powder drugs; radial basis function network; Artificial neural networks; Clustering algorithms; Computer science; Drugs; Educational institutions; Educational technology; Knowledge engineering; Powders; Radial basis function networks; Spectroscopy; Neural network; near-infrared spectroscopy; nondestructive quantitative analysis; radial basis function;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527656

Filename

1527656