The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems

IMR OpenIR

	The improvement of regular solution model based on genetic algorithm and neural network and its application in binary slag systems
其他题名	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
发表期刊	ACTA METALLURGICA SINICA
ISSN	0412-1961
卷号	44 期号:7 页码:799-802
摘要	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.
关键词	slag regular solution model activity neural network genetic algorithm
收录类别	CSCD
语种	英语
CSCD记录号	CSCD:3355058
引用统计
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/142468
专题	中国科学院金属研究所
作者单位	中国科学院金属研究所
推荐引用方式 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.