人工智能在高炉控制中的应用  

Application of artificial intelligence in blast furnace process control

作　　者：杨尚宝[1] 刘文全[1] 

机构地区：[1]北京科技大学

出　　处：《炼铁》1994年第5期43-47,61,共5页Ironmaking

摘　　要：应用于高炉控制的人工智能模型主要有:高炉专家系统、神经网络模型及神经网络专家系统。高炉专家系统虽然具有知识推理的透明性,但却不具备自学习功能;神经网络模型虽然具有很强的自学习功能,但又不具备知识推理的透明性;神经网络专家系统则同时具备两者的优点。The main artificial intelligence models used for BF process control are as follows:expert system of blast furnace.neural network made!.neuron-based expert system.The expert system has a advantage of transparency of knowledge inference,the neural network model has a advantage of self-learning but the neuron-based expert system has both of the former advantages.

关 键 词：高炉 数学模型 人工智能 专家系统 神经网络 

分 类 号：TF325.6[冶金工程—冶金机械及自动化]