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| Development and Application of Expert System for Controlling of Sinter Chemical Composition |
| FAN Xiaohui1，LONG Hongming1，CHEN Xuling1，JIANG Tao1，SHI Jun2 |
| 1. School of Resources Processing and Bioengineering,Central South University, Changsha 410083, Hunan, China； 2. Steelmaking Factory, Panzhihua New Steel and Vanadium Co., Ltd.， Panzhihua 617022, Sichuan, China |
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Abstract An artificial neural network model based on modified BP algorithm is used to predict R, TFe and SiO2 contents of sinter. The results of predictive model are transformed to input of rules. An expert system based on empirical rules was designed. Combining the change trend of R, TFe with burden calculation, the burden is adjusted with such system. The hitrate of sinter basicity was 91%, that of TFe was 94%, and the acceptance rate of operation suggestions was 92%, realizing the goal of controlling sinter chemical composition steadily.
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Received: 01 January 1900
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2006, Vol. 41 
