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	Prediction model of molten iron endpoint temperature in AOD furnace based on RBF neural network (EI CONFERENCE)
	Ma H.-T. ; You W. ; Chen T.
	2010
会议名称	2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010, January 9, 2010 - January 10, 2010
会议地点	Harbin, China
关键词	According to Jilin Ferroalloy Factory 10-ton AOD furnace actual smelting condition analyzes the impact factor of AOD furnace molten iron endpoint temperature by optimizing the neural network connection weights and structure design prediction model of molten iron endpoint temperature based on RBF neural network using LM algorithm and 50 furnaces actual production data to train the model and predicts another 50 furnaces molten iron temperature Result shows that prediction model of molten iron endpoint temperature based on RBF neural network has a high accuracy when the error of endpoint temperature is 12 C hit rate of temperature is 82.4%. 2010 IEEE.
页码	1263-1265
收录类别	EI
内容类型	会议论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/32988]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Ma H.-T.,You W.,Chen T.. Prediction model of molten iron endpoint temperature in AOD furnace based on RBF neural network (EI CONFERENCE)[C]. 见:2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010, January 9, 2010 - January 10, 2010. Harbin, China.

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