期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
金属离子水解常数pK_1的人工神经网络研究 被引量:6
1
作者 杨兴华 印春生 《无机化学学报》 SCIE CAS CSCD 北大核心 2004年第11期1334-1338,共5页
A functional-link net(FLN) was applied to study the relationships between the structural parameters of metal ions and their Hytrosis Constants pK1. These structural parameters such as radius, electric charge, electron... A functional-link net(FLN) was applied to study the relationships between the structural parameters of metal ions and their Hytrosis Constants pK1. These structural parameters such as radius, electric charge, electronegativity (electricity shouldering) and valence electron structure parameter of the metal ion. The results are satisfactory, and better than that obtained by using linearly statistic methods. Through comparing hytrolysis constants pK1 with hydration-energy ?H, the non-linear characteristic of pK1 have deeply discussed. 19 unknown pK1 of metal ion were predicted with the method. 展开更多
关键词 金属离子 水解常数 人工神经网络 结构 水溶液化学
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部