Complexity approximation of classification task for large dataset ensemble artificial neural networks
In this paper, operational and complexity analysis model for ensemble Artificial Neural Networks (ANN) multiple classifiers are investigated. The main idea behind this, is lie on large dataset classification complexity and burden are to be moderated by using partitioning for parallel tasks and com...
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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | http://eprints.unisza.edu.my/2592/1/FH03-FIK-19-28012.pdf http://eprints.unisza.edu.my/2592/ |
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