articleTop 10% cited
Layered Neural Networks with Gaussian Hidden Units as Universal Approximations
Neural Computation · 1990 · Vol. 2(2) · pp. 210–215
Abstract
A neural network with a single layer of hidden units of gaussian type is proved to be a universal approximator for real-valued maps defined on convex, compact sets of R n .
Neural Networks and ApplicationsFuzzy Logic and Control SystemsImage Retrieval and Classification TechniquesArtificial neural networkGaussianRegular polygonMathematicsComputer scienceType (biology)AlgorithmArtificial intelligencePattern recognition (psychology)Applied mathematics
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787
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14.53
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References
On the approximate realization of continuous mappings by neural networks
Neural Networks · 1989 · 4,195 citations
Ergodic theory of chaos and strange attractors
Reviews of Modern Physics · 1985 · 4,848 citations
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Neural Computation · 1989 · 4,203 citations
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