Differential learning algorithms for decorrelation and independent component analysis

DOI10.1016/J.NEUNET.2006.06.002zbMath1178.68402OpenAlexW2082472463WikidataQ30542006 ScholiaQ30542006MaRDI QIDQ858889

Seungjin Choi

Publication date: 11 January 2007

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2006.06.002

zbMATH Keywords

blind source separationindependent component analysisHebbian learningdecorrelationdifferential learning

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Separation theorem for independent subspace analysis and its consequences

Uses Software

• FastICA
• ICALAB

Cites Work

• Unnamed Item
• A unifying information-theoretic framework for independent component analysis
• Flexible independent component analysis

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