Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems

DOI10.1016/J.PATCOG.2007.01.002zbMath1111.68636OpenAlexW2068670002MaRDI QIDQ882258

Gao Daqi, Yang Yunfan, Li Chunxia

Publication date: 23 May 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.01.002

zbMATH Keywords

task decompositionmodular multilayer perceptronsmulti-class learning data setsoutput amendmentunbalanced classesweak distribution regions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Uses Software

• UCI-ml
• SDaA

Cites Work

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• Multi-class pattern classification using neural networks
• Selection of relevant features and examples in machine learning
• Independent component analysis, a new concept?
• Neural learning from unbalanced data
• A class-modular feedforward neural network for handwriting recognition

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