DocumentCode
2570360
Title
A hybrid modeling method of reheating furnace temperature based on neural network
Author
Xiaobo, Chen ; Yanlong, Wang ; Yinghua, Yang ; Shukai, Qin
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear
2008
fDate
2-4 July 2008
Firstpage
4904
Lastpage
4908
Abstract
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.
Keywords
furnaces; neural nets; power engineering computing; hybrid modeling method; neural network; reheating furnace temperature; Educational institutions; Electronic mail; Furnaces; Information analysis; Information science; Mathematical model; Mathematics; Neural networks; Principal component analysis; Temperature; Mathematic model; Neural network (NN); PCA; Reheating furnace;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4598260
Filename
4598260
Link To Document