articleTop 1% cited
Neural networks and principal component analysis: Learning from examples without local minima
Neural Networks · 1989 · Vol. 2(1) · pp. 53–58
Pierre Baldi✉(University of California, San Diego)Kurt Hornik(University of California, San Diego)
Neural Networks and ApplicationsModel Reduction and Neural NetworksBlind Source Separation TechniquesPrincipal component analysisLinear subspaceMaxima and minimaArtificial neural networkProjection (relational algebra)Subspace topologyComputer scienceMathematicsAlgorithmSaddle point
Citations
1,378
FWCI
26.77
field-weighted impact
References
19
Percentile
100%
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Citations per year
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References
Introduction to Numerical Analysis.
Mathematics of Computation · 1981 · 5,508 citations
Nonlinear neural networks: Principles, mechanisms, and architectures
Neural Networks · 1988 · 1,625 citations
An Introduction to Numerical Analysis
Mathematics of Computation · 1990 · 3,101 citations
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