Neural modeling helps the BOS process to achieve aimed end-point conditions in liquid steel-Reference-Cited by-同舟云学术

Neural modeling helps the BOS process to achieve aimed end-point conditions in liquid steel

Published:2006-02 Issue:1 Volume:19 Page:9-17
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Fileti A.M. Frattini,Pacianotto T.A.,Cunha A. Pitasse

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference10 articles.

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3. Gauss–Newton approximation to Bayesian learning;Foresee;Proceedings of IJCNN,1997

4. Applications of artificial networks in chemical engineering;Himmelblau;Korean Journal of Chemical Engineering,2000

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