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采用基于变步长BP算法的人工神经网络,对高效微填充柱毛细管柱构成的二维柱色谱系统建立了柱效与影响因素的权接拓扑模型,并用于不同操作条件下二维柱系统的柱效预测中,取得了较好的效果。
An artificial neural network based on variable step size BP algorithm was used to establish the right connected topological model of the efficiency and efficiency of a two-dimensional column chromatographic system composed of high efficiency micro-packed column capillary columns and used in two-dimensional column system under different operating conditions Efficiency prediction, and achieved good results.