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A hybrid modeling method of reheating furnace temperature based on neural network

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4 Author(s)
Chen Xiaobo ; College of Information Science and Engineering, Northeastern University, Shenyang, 110004, China ; Wang Yanlong ; Yang Yinghua ; Qin Shukai

After analyzing different modeling methods of reheating furnace temperature, this paper proposed a hybrid model modeling method based on neural network. The normal model is built through the traditional method and the neural network model is built for approaching the difference between the actual system and normal model. The proposed modeling method can improve the modelpsilas approaching and generalization ability. The feasibility of this method is verified through the simulation.

Published in:

2008 Chinese Control and Decision Conference

Date of Conference:

2-4 July 2008