A two phase genetic algorithm(GA) which has robustness and random globe optimization is used to train RBFNN so that it has the ability on the resolution of overlapping chromatographic peaks.

• 通过两阶段学习算法的交替使用,使网络具有结构自学习和参数优化的能力,而后将网络应用于组分数未知的重叠色谱峰解析。