基于模糊神经网络的炼钢炉静态建模

田民乐; 刘少民

doi:10.13374/j.issn1001-053x.1998.02.031

田民乐, 刘少民. 基于模糊神经网络的炼钢炉静态建模[J]. 工程科学学报, 1998, 20(2): 136-139. DOI: 10.13374/j.issn1001-053x.1998.02.031

引用本文:

田民乐, 刘少民. 基于模糊神经网络的炼钢炉静态建模[J]. 工程科学学报, 1998, 20(2): 136-139. DOI: 10.13374/j.issn1001-053x.1998.02.031

Tian Minle, Liu Shaomin. Identification of Steelmaking Furnace Based on FNN[J]. Chinese Journal of Engineering, 1998, 20(2): 136-139. DOI: 10.13374/j.issn1001-053x.1998.02.031

Citation:

Tian Minle, Liu Shaomin. Identification of Steelmaking Furnace Based on FNN[J]. Chinese Journal of Engineering, 1998, 20(2): 136-139. DOI: 10.13374/j.issn1001-053x.1998.02.031

基于模糊神经网络的炼钢炉静态建模

Identification of Steelmaking Furnace Based on FNN

摘要

摘要: 根据炼钢转炉的实际采集数据,利用1种新型模糊神经网络(FNN),对其进行了静态建模。从理论上论证了该FNN的推理及非线性逼近能力。用新建模型对钢水终点温度,终点含碳量进行计算,其结果与相应的实测值基本一致。

Abstract: The static state model of steelmaking furnace is made based on the reality data gathered with the kind of Fuzzy Neural Network. The objective temperature of steel and WC in steel were calculated by the new model. The results accord with those of measured in the experiment.

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