From neural principal components to neural independent components
- 1 January 1997
- book chapter
- Published by Springer Nature
- p. 517-528
- https://doi.org/10.1007/bfb0020207
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- A class of neural networks for independent component analysisIEEE Transactions on Neural Networks, 1997
- Robust fitting by nonlinear neural unitsNeural Networks, 1996
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- Generalizations of principal component analysis, optimization problems, and neural networksNeural Networks, 1995
- Representation and separation of signals using nonlinear PCA type learningNeural Networks, 1994
- Modified Hebbian learning for curve and surface fittingNeural Networks, 1992
- Principal components, minor components, and linear neural networksNeural Networks, 1992
- A Self-Organizing Network for Principal-Component AnalysisEurophysics Letters, 1989
- Neural networks and principal component analysis: Learning from examples without local minimaNeural Networks, 1989
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982