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| Evaluation of Scheme Design of Blast Furnace Based on Artificial Neural Network |
TANG Hong1,LI Jing��min1,YAO Bi��qiang2,LIAO Hong��fu1,YAO Jin1 |
| 1. School of Manufacturing Science and Engineering, Sichuan University, Chengdu 610065, Sichuan, China; 2. School of Mechanical and Electrical Engineering, Panzhihua University, Panzhihua 617000, Sichuan, China |
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Abstract Blast furnace scheme design is very important, since it directly affects the performance, cost and configuration of the blast furnace. An evaluation approach to furnace scheme design was brought forward based on artificial neural network. Ten independent parameters which determined a scheme design were proposed. The improved three��layer BP network algorithm was used to build the evaluation model in which the 10 independent parameters were taken as input evaluation indexes and the degree to which the scheme design satisfies the requirements of the blast furnace as output. It was trained by the existing samples of the scheme design and the experts�� experience, and then tested by the other samples so as to develop the evaluation model. As an example, it is found that a good scheme design of blast furnace can be chosen by using the evaluation model proposed.
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Received: 01 January 1900
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2008, Vol. 15 
