Classification of CIE standard skies using probabilistic neural networks
- Auteur
- LI, Danny H. W1 ; TANG, H. L1 ; LEE, Eric W. M1 ; MUNEER, Tariq2
[1] Department of Building and Construction, City University of Hong Kong, Kowloon, Hong-Kong
[2] School of Engineering and the Built Environment, Napier University, Edinburgh, United Kingdom - Source
International journal of climatology. 2010, Vol 30, Num 2, pp 305-315, 11 p ; ref : 3/4 p
- ISSN
- 0899-8418
- Domaine scientifique
- Climatology, meteorology
- Editeur
- Wiley, Chichester
- Pays de publication
- United Kingdom
- Type de document
- Article
- Langue
- English
- Mot clé auteur
- artificial neural networks diffuse illuminance probabilistic neural network sky distribution zenith luminance
- Mot clé (fr)
- Classification Eclairement Elément météorologique Luminance Méthode Bayes Rayonnement global Rayonnement solaire diffus Rayonnement solaire direct Reconnaissance forme Réseau neuronal
- Mot clé (en)
- classification Illumination Meteorological variable Luminance Bayes methods Global radiation Diffuse solar radiation Direct solar radiation pattern recognition neural networks
- Mot clé (es)
- Clasificación Alumbrado Elemento meteorológico Luminancia Radiación global Radiación solar difusa Radiación solar directa Red neuronal
- Classification
- Pascal
- 001 Sciences exactes et technologie / 001E Terre, ocean, espace / 001E02 Geophysique externe / 001E02D Météorologie / 001E02D13 Transfert radiatif. Rayonnement solaire
- Discipline
- External geophysics
- Provenance
- Inist-CNRS
- Base de données
- PASCAL
- Identifiant INIST
- 22338285
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/joc.1891 
https://dx.doi.org/10.1002/joc.1891
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