| 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 |
| |
| 引用本文： | 齐建锋,邓勃.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[J].现代仪器,1998(3). |
| |
| 作者姓名： | 齐建锋 邓勃 |
| |
| 作者单位： | 清华大学化学系，清华大学化学系 北京 100084，北京 100084 |
| |
| 摘 要： | 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。
|
| 关 键 词： | 人工神经网络 阳极溶出伏安法 标准曲面法 化学形态 |
Determination of Chemical Speciation in Water System by Artificial Neural Network-Anodic Stripping Voltammetric Standard Curve Surface |
| |
| Qi Jianfeng Deng Bo.Determination of Chemical Speciation in Water System by Artificial Neural Network-Anodic Stripping Voltammetric Standard Curve Surface[J].Modern Instruments,1998(3). |
| |
| Authors: | Qi Jianfeng Deng Bo |
| |
| Affiliation: | Department of Chemistry Tsinghua University Beying 100084 |
| |
| Abstract: | 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-. |
| |
| Keywords: | artificial neural network anodic slipping voltammetriy standard curve surface method chemical speciation |
| 本文献已被 CNKI 等数据库收录！ |
