人工神经网络在色谱中的应用

Application of Artificial Neural Networks in Chromatography

综述了近几年来人工神经网络用于色谱研究中的进展。主要体现在用人工神经网络方法预测色谱保留值、优化色谱分离条件、自动监控色谱仪运行以及揭示色谱数据的隐含信息方面，并展望了人工神经网络在色谱中的应用前景。

A review of the application of artificial neural networks in chromatography is offered. This article focuses on the development of the artificial neural networks method predicting GC retention parameters, optimizing separation conditions, detecting system error and assessing GC data.