Analyzing the performance of an agent-based neural system for classification tasks using data distribution among the agents

SANTANA, L.E.O., CANUTO, A.M.P. and ABREU, M.C.C. (2006). Analyzing the performance of an agent-based neural system for classification tasks using data distribution among the agents. IEEE International Conference on Neural Networks - Conference Proceedings, 2951-2958.

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Abstract

The use of intelligent agents in the structure of multi-classifier systems has been investigated in order to overcome some drawbacks of these systems and, as a consequence, to improve the performance of such systems. As a result of this, the NeurAge system was proposed. This system has presented good results in some conventional (centralized) classification tasks. Nevertheless, in some classification tasks, relevant features can be distributed over a set of agent. These applications can be classified as distributed classification tasks. In this paper, an investigation of the performance of the NeurAge system in distributed classification tasks will be performed. In other words, it will be investigated the performance of NeurAge when the data are distributed over its agents. © 2006 IEEE.

Item Type:	Article
Identification Number:	https://doi.org/10.1109/ijcnn.2006.247229
Page Range:	2951-2958
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	06 Aug 2020 11:06
Last Modified:	17 Mar 2021 23:48
URI:	https://shura.shu.ac.uk/id/eprint/25389

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