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高爐異常爐況判斷專家系統及神經網絡的實現

Expert System for Abnormal Conditions Judgment of Blast Furnace and Realization of Neutral Network

  • 摘要: 提出高爐異常爐況判斷專家系統原理及實現方法.針對一般專家系統知識獲取"瓶頸"現象,引入神經網絡實現高爐異常爐況判斷.仿真結果表明,這種方法實用可行,為高爐異常爐況判斷采用神經網絡實現提供了1個很好的實例.

     

    Abstract: The principle and method of expert system for abnormal conditions judgment of blast furnace was introduced.Because the situation of "bottleneck" is existed in the knowledge acquisition in the coramon expert system,the artificial neutral network is used to judge abnormal conditions of blast furnace.The results of simulation prove that the expert system based on nrutral network is practical,in the application of blast furnace.

     

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