DocumentCode
3275781
Title
Knowledge representation and application based on neural network
Author
Zhao, Zhong ; Jiang, Wei-Sun
Author_Institution
Res. Inst. of Autom. Control, East China Univ. of Sci. & Technol., Shanghai, China
fYear
1996
fDate
2-6 Dec 1996
Firstpage
706
Lastpage
710
Abstract
This paper proposes a knowledge acquisition framework based on neural network. It is applied to the difficult problem of recognition of the batch reaction intervals. A good result has been achieved in the real batch copolymerization process
Keywords
backpropagation; batch processing (industrial); chemical technology; feedforward neural nets; knowledge acquisition; knowledge representation; pattern recognition; polymerisation; process control; unsupervised learning; backpropagation; batch reaction intervals; copolymerization process; cross validation; feedforward neural nets; genetic algorithm; knowledge acquisition; knowledge representation; neural network; pattern recognition; process control; unsupervised learning; Artificial neural networks; Automatic control; Impedance; Knowledge acquisition; Knowledge representation; Logic; Neural networks; Paper technology; Problem-solving; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-3104-4
Type
conf
DOI
10.1109/ICIT.1996.601686
Filename
601686
Link To Document