Combination of decisions from a multiple neural network classifier system
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/1999
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Resumo |
In this paper, a study of the effectiveness of a multiple classifier system (MCS) in a medical diagnostic task is described. A hybrid network, based on the integration of a fuzzy ARTMAP and the probabilistic neural network, is employed as the basis of the MCS. Outputs from multiple networks are combined using some decision combination method to reach a final prediction. By using a real medical database, a set of experiments has been conducted to evaluate the performance of the MSC with different network configurations. The experimental results reveal the potential of the MCS as a useful decision support tool in the medical field.<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30048762/lim-comibinationof-1999.pdf http://dx.doi.org/10.1109/KES.1999.820152 |
Palavras-Chave | #ART neural nets #decision support systems #fuzzy neural nets #medical expert systems #pattern classification |
Tipo |
Conference Paper |