articleTop 1% cited
Optimal unsupervised learning in a single-layer linear feedforward neural network
Neural Networks · 1989 · Vol. 2(6) · pp. 459–473
Terence D. Sanger✉(Massachusetts Institute of Technology)
Neural Networks and ApplicationsBlind Source Separation TechniquesImage and Signal Denoising MethodsComputer scienceUnsupervised learningArtificial neural networkFeedforward neural networkHebbian theoryCompetitive learningArtificial intelligenceBackpropagationProbabilistic neural networkWake-sleep algorithm
Funding
- U.S. Department of Defense
- Alfred P. Sloan Foundation
- Massachusetts Institute of Technology
- Advanced Research Projects Agency
- Office of Naval Research
Citations
1,518
FWCI
26.77
field-weighted impact
References
72
Percentile
100%
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Citations per year
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References
Learning representations by back-propagating errors
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Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
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The contrast sensitivity of retinal ganglion cells of the cat
The Journal of Physiology · 1966 · 2,643 citations
On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
Journal of Mathematical Analysis and Applications · 1985 · 535 citations
Neural networks and principal component analysis: Learning from examples without local minima
Neural Networks · 1989 · 1,378 citations
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
The Journal of Physiology · 1962 · 13,747 citations
Analysis of recursive stochastic algorithms
IEEE Transactions on Automatic Control · 1977 · 1,475 citations
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