DocumentCode
328241
Title
Algorithm for pruning hidden units in multilayered neural network for binary pattern classification problem
Author
Watanabe, Eiji ; Shimizu, Hikaru
Author_Institution
Dept. of Inf. Process. Eng., Fukuyama Univ., Japan
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
327
Abstract
This paper proposes a simple algorithm for pruning hidden units and introduces a cost function which can detect the unnecessary hidden units for learning patterns and prune them from the hidden layer. From simulation results, it is shown that the proposed algorithm can easily prune hidden units.
Keywords
feedforward neural nets; learning (artificial intelligence); optimisation; pattern classification; binary pattern classification; cost function; hidden units pruning; learning patterns; multilayered neural network; Convergence; Cost function; Information processing; Intelligent networks; Monitoring; Neural networks; Pattern classification;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.713923
Filename
713923
Link To Document