The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data

This paper presents an enhanced approach for ensemble multi classifier of Artificial Neural Networks (ANN). The motivation of this study is to improve the ANN capability and performance using reconstructed heterogeneous if the homogenous classifiers are deployed. The clusters set are partitioned int...

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Bibliographic Details
Main Authors: Mohamad, Prof. Madya Ts. Dr. Mumtazimah, Abdul Rahman, Prof. Dr. Mohd Nordin, Makhtar, Prof. Ts. Dr. Mokhairi
Format: Book Section
Language:English
English
Published: Springer Cham 2016
Subjects:
Online Access:http://eprints.unisza.edu.my/3382/1/FH05-FIK-17-09478.pdf
http://eprints.unisza.edu.my/3382/2/FH05-FIK-17-09479.pdf
http://eprints.unisza.edu.my/3382/
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