DocumentCode
1685917
Title
Improving the performance of the HONG network with boosting
Author
Atukorale, Ajantha S. ; Downs, Tom ; Suganthan, P.N.
Author_Institution
Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., St. Lucia, Qld., Australia
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1753
Lastpage
1756
Abstract
This paper gives a brief description of a hierarchical architecture (HONG) that has been described elsewhere. The learning algorithm it uses is a mixed unsupervised/supervised method with most of the learning being unsupervised. The architecture generates multiple classifications for every data pattern presented, and combines them to obtain the final classification. The main purpose of this paper is to show how boosting can be used to improve the performance of the HONG classifier
Keywords
learning (artificial intelligence); neural nets; HONG network; boosting; hierarchical overlapped neural gas network; learning algorithm; mixed unsupervised/supervised method; multiple classifications; Acceleration; Australia; Boosting; History; Information technology; Machine learning; Machine learning algorithms; Neurons; Pattern recognition; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007783
Filename
1007783
Link To Document