Looking inside self-organizing map ensembles with resampling and negative correlation learning

DOI10.1016/j.neunet.2010.08.004zbMath1217.68186OpenAlexW2066354979WikidataQ51660521 ScholiaQ51660521MaRDI QIDQ553253

Alexandra Scherbart, Tim W. Nattkemper

Publication date: 26 July 2011

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2010.08.004

zbMATH Keywords

regressionbaggingself-organizing mapsnegative correlation learningensemble learningrandom subspace method

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Forecasting corporate failure using ensemble of self-organizing neural networks

Uses Software

• R
• UCI-ml
• pls
• e1071
• randomForest
• ElemStatLearn
• StatLib Datasets Archive
• AAindex

Cites Work

• Bagging predictors
• Negative correlation in incremental learning
• Self-organized formation of topologically correct feature maps
• Multivariate adaptive regression splines
• Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests
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