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(Article of periodic en Anglais - 2002)

Document title

Three-dimensional neurointerpolation of annual mean precipitation and temperature surfaces for China

Authors(s) and Affiliation(s)

BRYAN B.A. ; ADAMS J.M. ;

Abstract

The aim of this study is to provide a rigorous assessment of the suitability of the neural network for its ability to produce annual mean precipitation and temperature surfaces for China that complement the Gestalt climate mapping, using the Rprop neural network with latitude, longitude, and elevation data. The AA. aim to provide a thorough assessment of the error involved in neurointerpolation with Rprop networks and provide an accessible guide to some of the issues involved in neurointerpolation in the geographical realm

Source

Article of periodic

published at : Geographical analysis / ISSN 0016-7363

Editor : Ohio State University Press, Columbus, OH - ETATS-UNIS (1969)

Millesime : 2002, vol. 34, no2 [pp. 93-111]

Bibliographic references : 54 ref.

Collation : Illustration ;

Language

Anglais

Localisation

Laboratoire INTERGEO - Paris

INIST-CNRS, Cote INIST : 17078

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2002.
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