Identification of Steelmaking Furnace Based on FNN
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摘要: 根據煉鋼轉爐的實際采集數據,利用1種新型模糊神經網絡(FNN),對其進行了靜態建模。從理論上論證了該FNN的推理及非線性逼近能力。用新建模型對鋼水終點溫度,終點含碳量進行計算,其結果與相應的實測值基本一致。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 W[C] in steel were calculated by the new model. The results accord with those of measured in the experiment.
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Key words:
- fuzzy neural network(FNN) /
- identification /
- steelmaking furnace
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