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NUCLEAR SAFETY INSTITUTE OF THE RUSSIAN ACADEMY OF SCIENCES
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APPLICATION AND DEVELOPMENT OF RADIAL BASIS FUNCTION ARTIFICIAL NEURAL NETWORKS TO ANALYSIS AND MODELING OF SPATIALLY DISTRIBUTE INFORMATION (PREPRINT IBRAE-1999-06)Language: Русский Publish year: 1999 Pages: 27
| Preprint IBRAE-99-06
Polishchuk V.V., Kanevski M.F.
Application of radial basis function neural networks to spatailly distributed data is studied. Geostatistics is used to qualify the results. Network extention allows to obtain the estimate variance. «Thick contour» isolines are presented as the outputs for decision making.
Bibliographical reference
Polishchuk V.V., Kanevski M.F. APPLICATION AND DEVELOPMENT OF RADIAL BASIS FUNCTION ARTIFICIAL NEURAL NETWORKS TO ANALYSIS AND MODELING OF SPATIALLY DISTRIBUTE INFORMATION. Preprint IBRAE-99-06. Moscow: Nuclear Safety Institute. 1999. 27 p. — Refs.: 19 items.
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