Data mining techniques for improved WSR-88D rainfall estimation
- Author
- TRAFALIS, T. B1 ; RICHMAN, M. B2 ; WHITE, A1 2 ; SANTOSA, B1
[1] School of Industrial Engineering, University of Oklahoma, 202 W.Boyd, Suite 124, Norman, OK 73019-0631, United States
[2] School of Meterology, University of Oklahoma, Norman, OK 73019-0626, United States - Source
Computers & industrial engineering. 2002, Vol 43, Num 4, pp 775-786, 12 p ; ref : 1 p.1/4
- CODEN
- CINDDL
- ISSN
- 0360-8352
- Scientific domain
- Control theory, operational research; Mechanical engineering; Computer science
- Publisher
- Pergamon Press, New York, NY
/
Pergamon Press, Oxford
/
Pergamon Press, Seoul
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse amas Analyse composante principale Analyse donnée Extraction information Fouille donnée Intelligence artificielle Pluviométrie Reconnaissance forme Réseau neuronal Rétropropagation Télédétection
- Keyword (en)
- Cluster analysis Principal component analysis Data analysis Information extraction Data mining Artificial intelligence Rainfall rate recording Pattern recognition Neural network Backpropagation Remote sensing
- Keyword (es)
- Analisis cluster Análisis componente principal Análisis datos Extracción información Busca dato Inteligencia artificial Pluviometría Reconocimiento patrón Red neuronal Retropropagacíon Teledetección
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E02 External geophysics / 001E02G Remote sensing, photointerpretation
- Discipline
- External geophysics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 13903623
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
10.1016/S0360-8352(02)00139-0 
https://dx.doi.org/10.1016/S0360-8352(02)00139-0
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