A new artificial neural network ensemble based on feature selection and class recoding

M. Paz Sesmero; Juan M. Alonso-Weber; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis

doi:10.1007/s00521-010-0458-5

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A new artificial neural network ensemble based on feature selection and class recoding

M. Paz Sesmero Juan M. Alonso-Weber Germán Gutiérrez Agapito Ledezma Araceli Sanchis

Year: 2010 Journal: Neural Computing and Applications Vol: 21 (4)Pages: 771-783 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-010-0458-5

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Keywords:

Computer science Artificial intelligence Multiclass classification Artificial neural network Machine learning Classifier (UML) Computational Science and Engineering Feature selection Binary classification Binary number Pattern recognition (psychology) Support vector machine Mathematics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

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Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

A new artificial neural network ensemble based on feature selection and class recoding

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