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The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems
Alternative TitleTHE IMPROVEMENT OF REGULAR SOLUTION MODEL BASED ON GENETIC ALGORITHM AND NEURAL NETWORK AND ITS APPLICATION IN BINARY SLAG SYSTEMS
Wu Ling; Jiang Zhouhua; Gong Wei; Liang Lianke
2008
Source PublicationACTA METALLURGICA SINICA
ISSN0412-1961
Volume44Issue:7Pages:799-802
AbstractA real solution activity model was introduced by improving the components interaction energy in regular solution model with genetic algorithm (GA) and neural network (NN) and the activities of components in MnO-SiO2 and CaO-Al2O3 binary systems were estimated by this model. Due to the different properties between real solution and regular solution, it is proved that the interaction energy Omega(ij) is the function of temperature and composition, and Omega(ij) not equal Omega(ij) at the same temperature and composition. With the comparison of results received by calculation and previous studies, the improved model has a high nonlinear fitting capability, so it can be used to accurately predict the activity of solution component.
Keywordslag regular solution model activity neural network genetic algorithm
Indexed ByCSCD
Language英语
CSCD IDCSCD:3355058
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/142468
Collection中国科学院金属研究所
Affiliation中国科学院金属研究所
Recommended Citation
GB/T 7714
Wu Ling,Jiang Zhouhua,Gong Wei,et al. The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems[J]. ACTA METALLURGICA SINICA,2008,44(7):799-802.
APA Wu Ling,Jiang Zhouhua,Gong Wei,&Liang Lianke.(2008).The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems.ACTA METALLURGICA SINICA,44(7),799-802.
MLA Wu Ling,et al."The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems".ACTA METALLURGICA SINICA 44.7(2008):799-802.
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