Neural Network Expert System of Forecasting Blast Furnace 0perational Conditions

LU Husheng; GAO Bin; ZHAO Liguo; GUO Hongwei; YANG Tianjun

doi:10.13374/j.issn1001-053x.2002.03.054

Volume 24 Issue 3

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2002 > 24(3): 276-279

LU Husheng, GAO Bin, ZHAO Liguo, GUO Hongwei, YANG Tianjun. Neural Network Expert System of Forecasting Blast Furnace 0perational Conditions[J]. Chinese Journal of Engineering, 2002, 24(3): 276-279. doi: 10.13374/j.issn1001-053x.2002.03.054

Citation:

LU Husheng, GAO Bin, ZHAO Liguo, GUO Hongwei, YANG Tianjun. Neural Network Expert System of Forecasting Blast Furnace 0perational Conditions[J]. Chinese Journal of Engineering, 2002, 24(3): 276-279. doi: 10.13374/j.issn1001-053x.2002.03.054

Citation:

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Neural Network Expert System of Forecasting Blast Furnace 0perational Conditions

doi: 10.13374/j.issn1001-053x.2002.03.054

1. Information Engineering School, UST Beijing, Beijing 100083, China;
2. Baotou University of Iron and Steel, Baotou 014010, China;
3. Metallurgy School, UST Beijing, Beijing 100083, China

Received Date: 2001-07-04
Available Online: 2021-08-21

Abstract

Abstract

Based on deeply-analyzing the characteristics of iron-making process, it is presented that gen-eralization and self-adaptation of the BF judgement systems are two important factors for maintaining the sta-bility and efficiency of neural network expert system. The strategy for improving these two features has been proposed and a new developed system has been proved to be satisfactory in the on-site blast furnace operation.
- expert system,
- neural network,
- blast furnace,
- generalization,
- selp-adaptation