Application of neural networks to predict ice jam occurrence
- Author
- MASSIE, Darrell D1 ; WHITE, Kathleen D2 ; DALY, Steven F2
[1] Department of Civil and Mechanical Engineering, United States Military Academy, West Point, NY 10996, United States
[2] US Army Engineer Research and Development Center, Cold Regions Research and Engineering Laboratory, 72 Lyme Road, Hanover, NH 03755, United States - Source
Cold regions science and technology. 2002, Vol 35, Num 2, pp 115-122 ; Illustration , Table ; ref : 8 ref
- CODEN
- CRSTDL
- ISSN
- 0165-232X
- Scientific domain
- Environment; Civil engineering; Geology; Geophysics
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse statistique Classification Crue Débit rivière Glace Intelligence artificielle Modèle Prévision Régression statistique Réseau neuronal Embâcle Pennsylvanie Amérique du Nord Etats Unis
- Keyword (en)
- statistical analysis classification floods river discharge ice artificial intelligence models prediction regression analysis neural networks Pennsylvania North America United States
- Keyword (es)
- Clasificación Crecida Caudal río Hielo Modelo Previsión Regresión estadística Red neuronal Pensilvania America del norte Estados Unidos
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01N Hydrology. Hydrogeology / 001E01N01 Hydrology
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 13851314
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/S0165-232X(02)00056-3 
https://dx.doi.org/10.1016/S0165-232X(02)00056-3
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