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Quantitative Near-infrared Spectroscopic Analysis of Trimethoprim by Artificial Neural Networks Combined with Modified Genetic Algorithm 被引量:1

Quantitative Near-infrared Spectroscopic Analysis of Trimethoprim by Artificial Neural Networks Combined with Modified Genetic Algorithm
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摘要 A novel method for rapid,accurate and nondestructive determination of trimethoprim in complex matrix was presented.Near-infrared spectroscopy coupled with multivariate calibration(partial least-squares and artificial neural networks) was applied in the experiment.The variable selection process based on a modified genetic algorithm with fixed number of selected variables was proceeded,which can reduce the training time and enhance the predictive ability when coupled with artificial neural network model. A novel method for rapid,accurate and nondestructive determination of trimethoprim in complex matrix was presented.Near-infrared spectroscopy coupled with multivariate calibration(partial least-squares and artificial neural networks) was applied in the experiment.The variable selection process based on a modified genetic algorithm with fixed number of selected variables was proceeded,which can reduce the training time and enhance the predictive ability when coupled with artificial neural network model.
出处 《Chemical Research in Chinese Universities》 SCIE CAS CSCD 2014年第4期582-586,共5页 高等学校化学研究(英文版)
基金 Supported by the National Natural Science Foundation of China(No.21207047), the State Major Project for Science and Technology Development, China(No.2011YQ14015001), the Basic Research Foundation of Jilin University, China (Nos.201103096, 201103102) and the Science-Technology Development Project of Jilin Province of China(Nos.201105008, 20126018, 20130206014GX).
关键词 Artificial neural network Genetic algorithm Near-infrared spectroscopy TRIMETHOPRIM Artificial neural network Genetic algorithm Near-infrared spectroscopy Trimethoprim
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