核化学与放射化学Issue(3)：149-156,8.DOI:10.7538/hhx.2014.36.03.0149
基于人工神经网络的磷酸三丁酯络合萃取Np（Ⅳ、Ⅵ）的模拟
Simulation of Complex Extraction of Neptunium (Ⅳ,Ⅵ) With Tributyl Phosphate Based on Artificial Neural Networks
摘要
Abstract
Computer simulation of nuclear fuel reprocessing in recent years becomes an important means of study the nuclear fuel reprocessing process in the world.Tributyl phosphate as the extractant and kerosene as the diluent were selected for the complex extraction of neptunium (Ⅳ,Ⅵ).By using BP artificial neural networks (ANN ),the equilibrium distribution ratio was correlated with the extraction operational conditions in the extraction system,such as initial concentration of nitric acid,neptunium (Ⅳ,Ⅵ)and uranium (Ⅵ),as well as temperature.The ANN model of extraction equilibrium ratio was established.Moreover, the effects of different extraction condition on the equilibrium <br> distribution ratio were predicted by using the model.The results show that the proposed model can simulate the experimental data and predict the process of extraction well,in the range of experiment conditions,such as 25-60 ℃,0.1-11 mol/L HNO3 and 0-210 g/L U(Ⅵ).After testing by the Np (Ⅳ,Ⅵ) extraction distribution ratio values from the literature,the mean relative error is less than 2%.关键词
人工神经网络/镎/磷酸三丁酯/络合萃取Key words
artificial neural networks/neptunium/tributyl phosphate/complex extraction分类
能源科技引用本文复制引用
周羽,未根华,何辉,陈延鑫..基于人工神经网络的磷酸三丁酯络合萃取Np（Ⅳ、Ⅵ）的模拟[J].核化学与放射化学,2014,(3):149-156,8.基金项目
大厂重大专项资助项目(后处理流程各工艺单元数学模型和计算软件研制)(2010ZX06203-01) （后处理流程各工艺单元数学模型和计算软件研制）
