Neuron-Based Expert System for Judging the State of Blast Furnace

Yang Shangbao; Yang Tianjun

doi:10.13374/j.issn1001-053x.1994.06.003

Volume 16 Issue 6

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Article Navigation > Chinese Journal of Engineering > 1994 > 16(6): 517-521

Yang Shangbao, Yang Tianjun. Neuron-Based Expert System for Judging the State of Blast Furnace[J]. Chinese Journal of Engineering, 1994, 16(6): 517-521. doi: 10.13374/j.issn1001-053x.1994.06.003

Citation:

Yang Shangbao, Yang Tianjun. Neuron-Based Expert System for Judging the State of Blast Furnace[J]. Chinese Journal of Engineering, 1994, 16(6): 517-521. doi: 10.13374/j.issn1001-053x.1994.06.003

Yang Shangbao, Yang Tianjun. Neuron-Based Expert System for Judging the State of Blast Furnace[J]. Chinese Journal of Engineering, 1994, 16(6): 517-521. doi: 10.13374/j.issn1001-053x.1994.06.003

Citation:

Yang Shangbao, Yang Tianjun. Neuron-Based Expert System for Judging the State of Blast Furnace[J]. Chinese Journal of Engineering, 1994, 16(6): 517-521. doi: 10.13374/j.issn1001-053x.1994.06.003

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Neuron-Based Expert System for Judging the State of Blast Furnace

doi: 10.13374/j.issn1001-053x.1994.06.003

Departmaent of Metallurgy, USTB, Beijing 100083, PRC

Received Date: 1993-12-31
Available Online: 2021-11-13

Abstract

Abstract

An expert system based on neural network was establised for judging the state of blast furnace.The Back-Propagation network is used as engine of ES.This ES with selflearning function and associative memory function can be learning when the system off line and can save the samples into the knowledge base when the system on line.So the system ability can be developed continuously.
- blast furnace,
- expert system,
- neural network,
- self-learning