The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book Section |
| Language: | English English |
| Published: |
Springer International Publishing
2016
|
| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/3338/1/FH05-FIK-17-07718.pdf http://eprints.unisza.edu.my/3338/2/FH05-FIK-17-07727.pdf http://eprints.unisza.edu.my/3338/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|