| 人工神经网络用于锕系离子An3+水解常数pK1预测研究 |
| Study on Prediction of Hydrolysis Constant of Actinide Elements Ions An3+ by Using Artificial Neural Network |
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| 摘要: |
| 关键词: 镧系金属离子 镧系金属离子 水解常数 函数连接型神经网络(FLN) 预测 |
| 基金项目: |
| Abstract: A set of parameters such as ionic radii, electronegativity, base state L values, and periodic factors, defined in this work, were used to nonlinearly correlate hydrolysis constants pK1 of the lanthanide and actinide metal ions(Ln3+ and An3+) with the functional-link net(FLN). Training the functional-link net(FLN) with a group mix stylebooks make up of 13 Ln3+ and 4 An3+, 10 An3+ pK1 were predicted by FLN. |
| Keywords: lanthanide metal ions actinide metal ions hydrolysis constants functional-link net predict |
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| 摘要点击次数: 1377 |
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| 杨兴华,张南生,潘忠孝.人工神经网络用于锕系离子An3+水解常数pK1预测研究[J].无机化学学报,2002,18(6):627-630. |
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