摘要
应用径向基函数人工神经网络(RBF)和误差反向传播神经网络(BP),采用磺基水杨酸-邻菲罗啉双显色剂光度法同时分析了水中Fe(II)和Fe(III)。实验证明,RBF算法在所需神经元个数、训练时间、预测准确度等方面均明显优于BP网络算法。该技术和光度法结合有望成为多组分分析的有效选择方法之一。
The application of radical basis network (RBF) and BP neutral Network (BP)to the simultaneous determination of Fe (Ⅱ)and Fe (Ⅲ) has been accounted. Mixed reagents of sulfo-salicylic acid and phenenthroline was used as a selective chromogenic system. It was proved that RBF is prior to BP comparing to the number of nerve units, training time and pre-accuracy. It will be one of best selective methods to determine multiple components when combining RBF with photometric method.
出处
《安徽化工》
CAS
2005年第6期58-60,共3页
Anhui Chemical Industry