DocumentCode
2447570
Title
A SOM Based Method for Classes Overlap Degree Evaluation
Author
Lemeni, Ioan ; Tepus, Nicolae
Author_Institution
Univ. of Craiova, Craiova
fYear
2008
fDate
July 27 2008-Aug. 1 2008
Firstpage
171
Lastpage
176
Abstract
In a classification problem, the most difficult decision is to choose the artificial neural network (ANN) architecture that offers the best results. In this paper we present a method that permits to quickly evaluate the degree of overlapping between classes. Once we know this degree, we can easily choose the appropriate ANN architecture.
Keywords
artificial intelligence; pattern classification; self-organising feature maps; SOM based method; artificial neural network; classification problem; Artificial neural networks; Computer architecture; Computer networks; Information technology; Multi-layer neural network; Multilayer perceptrons; Nearest neighbor searches; Neural networks; Testing; Training data; Classification; probability density estimation; self-organizing map (SOM);
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in the Global Information Technology, 2008. ICCGI '08. The Third International Multi-Conference on
Conference_Location
Athens
Print_ISBN
978-0-7695-3275-2
Electronic_ISBN
978-0-7695-3275-2
Type
conf
DOI
10.1109/ICCGI.2008.55
Filename
4591365
Link To Document