DocumentCode
2039977
Title
Second learning of generalized multilayer perceptrons
Author
Xun Liang ; Shaowei Xia
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
2
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
763
Abstract
A method of pruning away redundant hidden neurons is given and discussed. Then the necessary and sufficient condition of the generalized value of change during the pruning process is given, as well as some relevant theorems, which leads to the formula of the generalized value of change. Finally, the steps of learning the patterns in the testing set which is called the second learning is addressed, and the change of generalization ability during second learning is proved.<>
Keywords
feedforward neural nets; learning (artificial intelligence); redundancy; generalization ability; generalized multilayer perceptrons; generalized value; generalized value of change; pruning process; redundant hidden neurons; second learning; sufficient condition; testing set; Automation; Information analysis; Information management; Laboratories; Management training; Multilayer perceptrons; Neurons; Pattern analysis; Sufficient conditions; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.320125
Filename
320125
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