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Data Preprocessing in Multilayer Perceptron Modelling


Paper Type 
Opinion
Title 
Data Preprocessing in Multilayer Perceptron Modelling
Author 
Ku R. Ku-Mahamud*, Aniza M. Din and Fathilah M. Alipiah
Email 
ruhana@uum.edu.my
Abstract:
Obtaining a good multilayer perceptron prediction model depends on the choice of data preprocessing techniques. In this study, data were preprocessed, represented and scaled, using two data representation techniques combined with four data scaling techniques. The prediction capability of the network can be enhanced using the proposed techniques.
Start & End Page 
43 - 48
Received Date 
2002-02-13
Revised Date 
Accepted Date 
2002-04-02
Full Text 
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Keyword 
multilayer perceptron, data scaling, data normalizing, data pre-processing
Volume 
Vol.29 No.1 (APRIL 2002)
DOI 
Citation 
Ku-mahamud K.R., Din A.M. and Alipiah F.M., Data Preprocessing in Multilayer Perceptron Modelling, Chiang Mai J. Sci., 2002; 29(1): 43-48.
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Chiang Mai Journal of Science

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