节点文献
金属离子水解常数pK1的人工神经网络研究
Study on Hydrolysis Constants pK1 of Metal Ions by using Artificial Neural Network
【Abstract】 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.
【基金】 湖南省高校科研资助项目(No.01C035)
- 【文献出处】 无机化学学报 ,Chinese Journal of Inorganic Chemistry , 编辑部邮箱 ,2004年11期
- 【分类号】O614.33
- 【被引频次】10
- 【下载频次】172