神经网络高炉炉况预测与判断专家系统

杨尚宝; 杨天钧; 董一诚

doi:10.13374/j.issn1001-053x.1996.03.005

杨尚宝, 杨天钧, 董一诚. 神经网络高炉炉况预测与判断专家系统[J]. 工程科学学报, 1996, 18(3): 220-225. DOI: 10.13374/j.issn1001-053x.1996.03.005

引用本文:

杨尚宝, 杨天钧, 董一诚. 神经网络高炉炉况预测与判断专家系统[J]. 工程科学学报, 1996, 18(3): 220-225. DOI: 10.13374/j.issn1001-053x.1996.03.005

Yang Shangbao, Yang Tianjun, Dong Yicheng. Expert System Based on Neural Networks for Predicting and Judging the State of Blast Furnace[J]. Chinese Journal of Engineering, 1996, 18(3): 220-225. DOI: 10.13374/j.issn1001-053x.1996.03.005

Citation:

Yang Shangbao, Yang Tianjun, Dong Yicheng. Expert System Based on Neural Networks for Predicting and Judging the State of Blast Furnace[J]. Chinese Journal of Engineering, 1996, 18(3): 220-225. DOI: 10.13374/j.issn1001-053x.1996.03.005

神经网络高炉炉况预测与判断专家系统

Expert System Based on Neural Networks for Predicting and Judging the State of Blast Furnace

摘要

摘要: 将神经网络与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,且具有良好的自学习功能。

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.

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