A canonical correlation neural network for multicollinearity and functional data

DOI10.1016/j.neunet.2003.07.002zbMath1076.68550OpenAlexW2083700614WikidataQ30914646 ScholiaQ30914646MaRDI QIDQ1877575

Zhenkun Gou, Colin Fyfe

Publication date: 19 August 2004

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2003.07.002

zbMATH Keywords

Canonical correlation analysisRobustnessRoughnessPartial least squares regressionMulticollinearity

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis ⋮ A learning algorithm for adaptive canonical correlation analysis of several data sets ⋮ A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304 ⋮ Regularized canonical correlation analysis with unlabeled data

Uses Software

• fda (R)

Cites Work

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• Gait analysis and the bootstrap
• Canonical ridge and econometrics of joint production
• Functional data analysis
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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