The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems | |
Alternative Title | THE 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 Publication | ACTA METALLURGICA SINICA
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ISSN | 0412-1961 |
Volume | 44Issue:7Pages:799-802 |
Abstract | A 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. |
Keyword | slag regular solution model activity neural network genetic algorithm |
Indexed By | CSCD |
Language | 英语 |
CSCD ID | CSCD:3355058 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.imr.ac.cn/handle/321006/142471 |
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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