Neuron-Based Expert System for Judging the State of Blast Furnace
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摘要: 采用反向傳播網絡作為推理機,構造了高爐異常爐況判斷專家系統,該系統具有良好的自學習功能和聯想記憶功能.系統采用離線學習方式,在線運行時,可將高爐操作實績存入知識庫,作為進一步學習的樣本,從而提高了系統精度和聯想能力.Abstract: An expert system based on neural network was establised for judging the state of blast furnace.The Back-Propagation network is used as engine of ES.This ES with selflearning function and associative memory function can be learning when the system off line and can save the samples into the knowledge base when the system on line.So the system ability can be developed continuously.
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Key words:
- blast furnace /
- expert system /
- neural network /
- self-learning
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