摘要
本文运用一典型的人工神经网络模型─“反向传播”模型，对高氧化态（Ⅱ─Ⅳ）三核金属簇合物的构型分布进行了分析，得到了较好的分类、预报结果为化合物结构分析提供了新的工具。
The structure type distribution of the high-volence (Ⅱ-Ⅳ) trinuclear cluster compounds were analysed by a typical artificial neural network back-propagation model.The good classing and predicting results were obtained. In fact,this study provide a new tool for structure analysis of compounds.
出处
《计算机与应用化学》
CAS
CSCD
1994年第1期32-35,共4页
Computers and Applied Chemistry
关键词
金属簇合物
构型分布
人工神经网络
Metal cluster compounds,Structure type distribution,Artificial neural network, Back-propagation model
