A dynamic ensemble learning algorithm for neural networks

This paper presents a novel dynamic ensemble learning (DEL) algorithm for designing ensemble of neural networks (NNs). DEL algorithm determines the size of ensemble, the number of individual NNs employing a constructive strategy, the number of hidden nodes of individual NNs employing a constructive–...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 12; S. 8675 - 8690
Hauptverfasser:	Alam, Kazi Md. Rokibul, Siddique, Nazmul, Adeli, Hojjat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Ensemble learning Heart diseases Image Processing and Computer Vision Machine learning Mushrooms Neural networks Original Article Probability and Statistics in Computer Science Pruning Soybeans Backpropagation algorithm Pruning algorithms Neural network ensemble Constructive algorithms Negative correlation learning
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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