节点文献
利用神经网络计算四苯硼酸铷由水至直链一元醇中的标准迁移热力学函数
Calculation of the Standard TRansfer Thermodynamic Function of Rubidium Tetraphenylborate from Water to Straight-chain n-Alkanols by Using Neural Network
【摘要】 以二元系实验数据为基础 ,利用反向传播算法训练神经网络 ,构造 Rb BPh4由水至直链一元醇中的标准迁移热力学函数与温度及碳原子数的关系模型 ,并对各种热力学函数进行预报 .将计算结果与实验结果、文献值进行比较 ,讨论热力学函数的变化规律 .
【Abstract】 By using BP algorithm to train neural network,we form a relaationship model between the standard thermodynamic function of transfer of RbBPh 4 from water to straight chain n alkanol and the temperature as weell as the number of carbon atoms,based on the experimental data of two components sysytem.and rredict all inds of thermodynamic functions.compare the calculated results with experimental results and document value and discuss the change regularity of thermodynamic function.
【关键词】 神经网络;
RbBPh4;
溶解度;
标准迁移热力学函数;
曲线拟合;
【Key words】 Neural network; RbBPh 4; Solubility; Standard transfer thermodynamic functio;
【Key words】 Neural network; RbBPh 4; Solubility; Standard transfer thermodynamic functio;
- 【文献出处】 聊城师院学报(自然科学版) ,Journal of Liaocheng Teachers College(Natural Science Edition) , 编辑部邮箱 ,2000年04期
- 【分类号】O642
- 【下载频次】15