Convergence analysis of deterministic discrete time system of a unified self-stabilizing algorithm for PCA and MCA
DOI10.1016/J.NEUNET.2012.08.016zbMath1258.68116OpenAlexW2066296754WikidataQ51312949 ScholiaQ51312949MaRDI QIDQ1942719
Qi Zhang, Chongzhao Han, Xiangyu Kong, Qiusheng An, Hong-Guang Ma
Publication date: 13 March 2013
Published in: Neural Networks (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.neunet.2012.08.016
neural networksfeature extractionprincipal component analysis (PCA)minor component analysis (MCA)deterministic discrete-time (DDT) system
Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)
Cites Work
- On the discrete time dynamics of a self-stabilizing MCA learning algorithm
- A simplified neuron model as a principal component analyzer
- A self-stabilizing MSA algorithm in high-dimension data stream
- Multilayer dynamic neural networks for non-linear system on-line identification
- Analysis of recursive stochastic algorithms
- A Dual Purpose Principal and Minor Subspace Gradient Flow
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