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

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

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 normalizati...

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Bibliographic Details
Main Authors:	Abubakar, Adamu, Haruna, Chiroma, Abdulkareem, Sameem
Format:	Proceeding Paper
Language:	English English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/44526/ http://irep.iium.edu.my/44526/1/I4CT.pdf http://irep.iium.edu.my/44526/4/44526_Comparing%20performances%20of%20neural_Scopus.pdf

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