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A predicting system based on combining an adaptive predictor and a knowledge base as applied to a blast furnace

✍ Scribed by Chen Jian


Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
494 KB
Volume
12
Category
Article
ISSN
0277-6693

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✦ Synopsis


Abstract

In this paper a system is proposed and applied to predicting silicon content in pig iron for a blast furnace. It combines an adaptive predictor with a knowledge base. On‐line experiments show that the prediction accuracy of the system is much better than that of an experienced operator or of an adaptive predictor alone. Such a system will be helpful to operators in selecting desirable control methods.