DocumentCode :
782587
Title :
Solving two-spiral problem through input data encoding
Author :
Chua, H.C. ; Jia, J. ; Chen, L. ; Gong, Y.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Volume :
31
Issue :
10
fYear :
1995
fDate :
5/11/1995 12:00:00 AM
Firstpage :
813
Lastpage :
814
Abstract :
The authors show that the two-spiral problem can be easily solved using a standard back propagation neural network by properly encoding the raw input data. The authors also examine and compare several data encoding schemes for use in neural networks to improve the training efficiency and generalisation property
Keywords :
backpropagation; neural nets; back propagation neural network; data encoding schemes; generalisation property; input data encoding; raw input data; training efficiency; two-spiral problem;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19950546
Filename :
386927
Link To Document :
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