A dynamic ensemble learning algorithm for neural networks

• Published in: Neural computing & applications Vol. 32; no. 12; pp. 8675 - 8690
• Main Authors: Alam, Kazi Md. Rokibul, Siddique, Nazmul, Adeli, Hojjat
• Format: Journal Article
• Language: English
• Published: London Springer London 01.06.2020; Springer Nature B.V
• Subjects: 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

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–...