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计算熔盐相图的键参数-人工神经网络方法
引用本文:王学业,姚树,文钦佩,李重河,康德山,陈念贻.计算熔盐相图的键参数-人工神经网络方法[J].无机化学学报,1996,12(3):326-328.
作者姓名:王学业  姚树  文钦佩  李重河  康德山  陈念贻
作者单位:中国科学院上海治金研究所, 上海200050,中国科学院上海治金研究所, 上海200050,中国科学院上海治金研究所, 上海200050,中国科学院上海治金研究所, 上海200050,中国科学院上海治金研究所, 上海200050,中国科学院上海治金研究所, 上海200050
基金项目:国家自然科学基金资助项目
摘    要:

关 键 词:熔盐  相图  神经网络  键参数  三元熔盐
收稿时间:1995/9/15 0:00:00

BOND PARAMETER ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO PHASE DIAGRAM CALCULATION FOR MOLTEN SALT SYSTEM
Wang Xueye,Yao Shuwen,Qin Pei,Li Chonghe,Kang Deshan and Chen Nianyi.BOND PARAMETER ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO PHASE DIAGRAM CALCULATION FOR MOLTEN SALT SYSTEM[J].Chinese Journal of Inorganic Chemistry,1996,12(3):326-328.
Authors:Wang Xueye  Yao Shuwen  Qin Pei  Li Chonghe  Kang Deshan and Chen Nianyi
Institution:Shanghai Institute of Metallurgy, Chinese A cademy of Sciences, Shanghai 200050,Shanghai Institute of Metallurgy, Chinese A cademy of Sciences, Shanghai 200050,Shanghai Institute of Metallurgy, Chinese A cademy of Sciences, Shanghai 200050,Shanghai Institute of Metallurgy, Chinese A cademy of Sciences, Shanghai 200050,Shanghai Institute of Metallurgy, Chinese A cademy of Sciences, Shanghai 200050 and Shanghai Institute of Metallurgy, Chinese A cademy of Sciences, Shanghai 200050
Abstract:Three-layer artificial neural network with BP algorithm and bond parameters as inputs has been used to investigate the regularities of ternary phase diagrams of molten salt system .The results indicate that not only the formability and properties of intermedicate compounds,but also the type of phase diagramsand and the temperatures of eutectic points can be estimated by the trained ANN.
Keywords:phase diagramof molten salt  artif icial neural network  bond parameter
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