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机构地区:[1]School of Metallurgical Science and Engineering,Central South University,Changsha,Hunan 410083,China Faculty of Material and Chemistry Engineering,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China [2]School of Metallurgical Science and Engineering,Central South University,Changsha,Hunan 410083,China [3]Faculty of Material and Chemistry Engineering,Jiangxi University of Science and Technology,Ganzhou,Jiangxi 341000,China [4]China Nerin Engineering Co.,Ltd.Nanchang,Jiangxi 330002,China
出 处:《过程工程学报》2008年第S1期105-109,共5页The Chinese Journal of Process Engineering
基 金:Key Industrial Technology Development Project of China (No.20051255);National Natural Science Foundation of China (No.50364004);Scientific and Technological Project of Jiangxi Province (No.20061B0101100);Natural Science Foundation of Jiangxi Province (No.2007GZC0713)
摘 要:The copper flash smelting process neural network model(CFSPNNM)was developed,its input layer includes eight nodes:oxygen grade(OG),oxygen volume per ton of concentrate(OVPTC),flux rate(FR)and quantifies of Cu,S,Fe,SiO_2 and MgO in copper concentrate;output layer includes three nodes:matte grade,matte temperature and Fe/SiO_2 in slag,and net structure was 8-13-10-3.Then,the internal relationship between the technological parameters and the objective parameters was built after the CFSPNNM was trained by us...The copper flash smelting process neural network model(CFSPNNM)was developed,its input layer includes eight nodes:oxygen grade(OG),oxygen volume per ton of concentrate(OVPTC),flux rate(FR)and quantifies of Cu,S,Fe,SiO_2 and MgO in copper concentrate;output layer includes three nodes:matte grade,matte temperature and Fe/SiO_2 in slag,and net structure was 8-13-10-3.Then,the internal relationship between the technological parameters and the objective parameters was built after the CFSPNNM was trained by using...
关 键 词:neural network genetic algorithm copper flash smelting MODELING OPTIMIZATION
分 类 号:TF811[冶金工程—有色金属冶金]
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