Title :
Second learning of generalized multilayer perceptrons
Author :
Xun Liang ; Shaowei Xia
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
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;
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
DOI :
10.1109/TENCON.1993.320125
