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神经网络高炉炉况预测与判断专家系统
引用本文:杨尚宝,杨天钧.神经网络高炉炉况预测与判断专家系统[J].北京科技大学学报,1996,18(3):220-225.
作者姓名:杨尚宝  杨天钧
作者单位:北京科技大学冶金系
摘    要:将神经网络传统专家系统有机地结合,建立了用于高炉炉况预测与判断的神经网络专家系统,该系统命中率高,适应性强,且具有良好地自学习功能。

关 键 词:高炉  炉况  预测  神经网络  专家系统  诊断

Expert System Based on Neural Networks for Predicting and Judging the State of Blast Furnace
Yang Shangbao, Yang Tianjun, Dong Yicheng.Expert System Based on Neural Networks for Predicting and Judging the State of Blast Furnace[J].Journal of University of Science and Technology Beijing,1996,18(3):220-225.
Authors:Yang Shangbao  Yang Tianjun  Dong Yicheng
Abstract:An expert system based on neural networks for predicting and judging the state of blast furnace is developed by applying the method of combining neural networks with traditional expert system. The system with high hit ratio has strong adaptability and good self-learnning function.
Keywords:blast furnace  predicting the state of BF  neural networks  expert system
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