人工神经网络——阳极溶出伏安标准曲面法测定水体中元素的化学形态分布

Determination of Chemical Speciation in Water System by Artificial Neural Network-Anodic Stripping Voltammetric Standard Curve Surface

建立了人工神经网络阳极溶出伏安标准曲面法,并将其成功地用于Pb^(2+)-Cd^(2+)-OH^--Cl^-混合体系中铅和镉的累积稳定常数和化学形态分布计算。

An artificial neural network-anodic stripping voltammetric standard curved surface method was suggested. The peak current ip is instantaneous current in normal anodic stripping voltammetriy and its variation is obvious.The current iA used in standard curved surface method is integrated current in the interval of the applied voltage in anodic stripping process and has good reproducibility. iA , as an entry, is input in artifical neural network. The standard curved surface method was successfully applied to calculate the accumulative stabilization constant and the chemical speciation distribution in mixed system, e.gPb2+、 -Cd2+、 -OH-、 -Cl-.