DocumentCode
2976076
Title
An ANN´s evolved by a new evolutionary system and its application
Author
Zhang, Chunkai ; Shao, Huihe
Author_Institution
Autom. Dept., Shanghai Jiaotong Univ., China
Volume
4
fYear
2000
fDate
2000
Firstpage
3562
Abstract
The paper presents a new evolutionary system for evolving artificial neural networks (ANN). In the process of evolution, the network architecture and the node weights of ANN are evolved alternately, and the evolution value of network architecture is related to the error value of ANN evolved by node weights. An evolved ANN has been used in modelling product quality estimator for a fractionator of the hydrocracking unit in the oil refining industry. The results show that it has good accuracy and generalisation ability
Keywords
evolutionary computation; neural nets; ANN; artificial neural network evolution; fractionator; hydrocracking unit; node weights; oil refining industry; product quality estimator modelling; Aerospace industry; Artificial neural networks; Automation; Evolutionary computation; Fractionation; Oil refineries; Particle swarm optimization; Partitioning algorithms; Random number generation; Search problems;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location
Sydney, NSW
ISSN
0191-2216
Print_ISBN
0-7803-6638-7
Type
conf
DOI
10.1109/CDC.2000.912257
Filename
912257
Link To Document