An integrated modeling method for prediction of sulfur content in agglomerate

来源期刊：中南大学学报(英文版)2003年第2期

论文作者：陈晓方 桂卫华 王雅琳 吴敏

文章页码：145 - 150

Key words：prediction model; integrated modeling; neural network; material balance; expert rule

Abstract: Based on the idea of fusing modeling, an integrated prediction model for sintering process was proposed. Aframenwork for sulfur content prediction was established, which integrated multi modeling ways together, including mathematical model combined with neural network(NN), rule model based on empirical knowledge and model-choosing coordinator. Via metallurgic,mechanism analysis and material balance computation, a mathematical model calculated the sulfur content in agglomerate by thematerial balance equation with some parameters predicted by NN method. In the other model, the relationship between sulfur content and key factors was described in the form of expert rules. The model-choosing coordinator based on fuzzy logic was introduced to decide the weight of result of each model according to process conditions. The model was tested by industrial application data and produced a relatively satisfactory prediction error. The model also preferably reflected the varying tendency of sulfur content in agglomerate as the evidence of its prediction performance.