The reconstructed heterogeneity to enhance ensemble neural network for large data

• Main Authors: Mumtazimah, Mohamad, Mokhairi, Makhtar, Mohd Nordin, Abdul Rahman
• Format: Conference or Workshop Item
• Language: English
• Published: 2017
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://eprints.unisza.edu.my/1684/1/FH03-FIK-17-08105.jpg; http://eprints.unisza.edu.my/1684/
• Institution: Universiti Sultan Zainal Abidin

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