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基于模糊神经网络的炼钢炉静态建模
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]. 北京科技大学学报, 1998, 20(2): 136-139
作者姓名:田民乐 刘少民
作者单位:北京科技大学自动化信息工程学院
摘    要:根据炼钢转炉的采集数据,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。

关 键 词:模糊神经网络 系统辨识 转炉炼钢 建模

Identification of Steelmaking Furnace Based on FNN
Tian Minle, Liu Shaomin. Identification of Steelmaking Furnace Based on FNN[J]. Journal of University of Science and Technology Beijing, 1998, 20(2): 136-139
Authors:Tian Minle   Liu Shaomin
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 W[C] in steel were calculated by the new model. The results accord with those of measured in the experiment
Keywords:fuzzy neural network(FNN)  identification  steelmaking furnace
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