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Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks
Auckland, New Zealand
December 13-December 15
ISBN: 0-7695-2662-4
ASCII Text
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Laura Emmanuella A. Santana, Anne M.P. Canuto, Joao Carlos Xavier Junior, Andre M C Campos, "A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks," Hybrid Intelligent Systems, International Conference on, pp. 9, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006.
 
 
BibTex
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@article{ 10.1109/HIS.2006.1,
author = {Laura Emmanuella A. Santana and Anne M.P. Canuto and Joao Carlos Xavier Junior and Andre M C Campos},
title = {A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2662-4},
pages = {9},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2006.1},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks
SN - 0-7695-2662-4
SP
EP
A1 - Laura Emmanuella A. Santana,
A1 - Anne M.P. Canuto,
A1 - Joao Carlos Xavier Junior,
A1 - Andre M C Campos,
PY - 2006
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
Laura Emmanuella A. Santana, Federal University of Rio Grande do Norte (UFRN)
Anne M.P. Canuto, Federal University of Rio Grande do Norte (UFRN)
Joao Carlos Xavier Junior, Federal University of Rio Grande do Norte (UFRN)
Andre M C Campos, Federal University of Rio Grande do Norte (UFRN)
The NeurAge (Neural agents) system has been proposed as an alternative to transform the centralized decision making process of a multi-classifier system into a distributed, flexible and incremental one. This system has presented good results in some conventional (centralized) classification tasks. Nevertheless, in some classification tasks, relevant features might be distributed over a set of agent. These applications can be classified as distributed classification tasks. In this paper, a comparative investigation of the NeurAge system using some methods for data distribution will be performed. In addition, the performance of the NeurAge system will be compared with some existing multi-classifier systems.
Citation:
Laura Emmanuella A. Santana, Anne M.P. Canuto, Joao Carlos Xavier Junior, Andre M C Campos, "A Comparative Analysis of Data Distribution Methods in an Agent-Based Neural System for Classification Tasks," his, pp.9, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
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