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Neural Network Prediction of Conversion Rate of TbFe2 Alloy Prepared by Reduction-Diffusion Process
Alternative TitleNeural Network Prediction of Conversion Rate of TbFe2 Alloy Prepared by Reduction-Diffusion Process
Guo Guangsi1; Wang Guangtai1; Cheng Yongjun2; Hu Xiaomei1
2015
Source PublicationRARE METAL MATERIALS AND ENGINEERING
ISSN1002-185X
Volume44Issue:5Pages:1104-1107
AbstractA BP neural network was established based on the following main experiment parameters of producing TbFe2 alloy by reduction-diffusion process: reaction temperature, holding time, quantity of Ca and particle size of Fe. A simulation was conducted, and the rate of conversion of TbFe2 alloy was predicted. The neural network was simulated and tested by 44 groups of experimental data. It can be concluded that the neural network has good performance to predict the rate of conversion of TbFe2 alloy. The design and the application of this neural network can help to shorten the periodic time of experiments, lower the experimental cost, and optimize the preparation processes.
Other AbstractA BP neural network was established based on the following main experiment parameters of producing TbFe_2 alloy by reduction-diffusion process: reaction temperature, holding time, quantity of Ca and particle size of Fe. A simulation was conducted, and the rate of conversion of TbFe_2 alloy was predicted. The neural network was simulated and tested by 44 groups of experimental data. It can be concluded that the neural network has good performance to predict the rate of conversion of TbFe_2 alloy. The design and the application of this neural network can help to shorten the periodic time of experiments, lower the experimental cost, and optimize the preparation processes.
KeywordCA-TB4O7-FE SYSTEM neural network prediction TbFe2 alloy rate of conversion
Indexed ByCSCD
Language英语
Funding Project[National Natural Science Foundation of China]
CSCD IDCSCD:5418908
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/156956
Collection中国科学院金属研究所
Affiliation1.沈阳理工大学
2.中国科学院金属研究所
Recommended Citation
GB/T 7714
Guo Guangsi,Wang Guangtai,Cheng Yongjun,et al. Neural Network Prediction of Conversion Rate of TbFe2 Alloy Prepared by Reduction-Diffusion Process[J]. RARE METAL MATERIALS AND ENGINEERING,2015,44(5):1104-1107.
APA Guo Guangsi,Wang Guangtai,Cheng Yongjun,&Hu Xiaomei.(2015).Neural Network Prediction of Conversion Rate of TbFe2 Alloy Prepared by Reduction-Diffusion Process.RARE METAL MATERIALS AND ENGINEERING,44(5),1104-1107.
MLA Guo Guangsi,et al."Neural Network Prediction of Conversion Rate of TbFe2 Alloy Prepared by Reduction-Diffusion Process".RARE METAL MATERIALS AND ENGINEERING 44.5(2015):1104-1107.
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