DocumentCode :
2856444
Title :
Optimization of input size for neural networks
Author :
Lee, Bongkyu ; Cho, Seongwon
Author_Institution :
Dept. of Comput. Sci., Cheju Univ., South Korea
Volume :
3
fYear :
1998
fDate :
4-9 May 1998
Firstpage :
1916
Abstract :
A selection scheme to determine the optimal number of input nodes for neural networks is presented. The proposed scheme selects only the features contributing to correct classification. Experimental results indicates that the proposed selection scheme improves the speed of neural networks
Keywords :
neural nets; optimisation; pattern classification; input nodes; input size; neural networks; Computer science; Equations; Intelligent networks; Neural networks; Ordinary magnetoresistance; Pattern recognition; Radiofrequency interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7576
Print_ISBN :
0-7803-4859-1
Type :
conf
DOI :
10.1109/IJCNN.1998.687151
Filename :
687151
Link To Document :
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