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
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;
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
DOI :
10.1109/CCDC.2008.4598260
