Training Neural Networks Using Input Data Characteristics

Feature selection is often an essential data processing step prior to applying a learning algorithm. The aim of this paper consists in trying to discover whether removal of irrelevant and redundant information improves the performance of neural network training results. The present study will descri...

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Bibliografski detalji
Glavni autor: CERNAZANU, C.
Format: Artigo
Jezik:Inglês
Izdano: Stefan cel Mare University of Suceava 2008-06-01
Serija:Advances in Electrical and Computer Engineering
Teme:
neural networks
data mining
correlation-based feature subset selection method
data features extraction
training algorithm
Online pristup:http://dx.doi.org/10.4316/AECE.2008.02012
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