Comparing performances of neural network models built through transformed and original data

Abubakar, Adamu and Haruna, Chiroma and Abdulkareem, Sameem (2015) Comparing performances of neural network models built through transformed and original data. In: International Conference on Computer, Communications, and Control Technology (I4CT), 2015, 21-23 April 2015, Kuching.

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Abstract

Data transformation (normalization) is a method used in data preprocessing to scale the range of values in the data within a uniform scale to improve the quality of the data; as a result, the prediction accuracy is improved. However, some scholars have questioned the efficacy of data normalization, arguing that it can destroy the structure in the original (raw) data. To address these arguments, we compared the prediction performances of the two methods in the domain of crude oil prices due to its global significance. It was found that the multilayer perceptron neural network model that was built using normalized data significantly outperformed the multilayer perceptron neural network that was built using raw data. The number of iterations and the computation time for both of the methods were statistically equal as well as for the regression. In view of the arguments in the literature about data standardization, the results of this research could allow researchers in the domain of crude oil price prediction to choose the best opinion.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	7132/44526 ISSN 978-1-4799-7952-3
Uncontrolled Keywords:	Multilayer perceptron Neural network; Crude oil pric; Raw data; Data standardization
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Dr Adamu Abubakar
Date Deposited:	04 Sep 2015 10:43
Last Modified:	21 Sep 2017 11:37
URI:	http://irep.iium.edu.my/id/eprint/44526

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