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...
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| 主要な著者: | , , |
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| フォーマット: | Book Section |
| 言語: | English English |
| 出版事項: |
Springer International Publishing
2016
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| 主題: | |
| オンライン･アクセス: | 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/ |
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