Quantitative near-infrared spectroscopic analysis of trimethoprim by artificial neural networks combined with modified genetic algorithm

Abstract

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.

Keywords

Artificial neural network / Genetic algorithm / Near-infrared spectroscopy / Trimethoprim

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