Soil water content forecasting by ANN and SVM hybrid architecture
- Author
- HONGBIN LIU1 2 ; DETI XIE1 2 ; WEI WU3
[1] Department of Resources and Environment, University of Southwest, Chongqing 400716, China
[2] Chongqing Key Laboratory of Digital Agriculture, University of Southwest, Chongqing 400716, China
[3] Department of Computer and Information Science, University of Southwest, Chongqing 400716, China - Source
Environmental monitoring and assessment. 2008, Vol 143, Num 1-3, pp 187-193, 7 p ; ref : 3/4 p
- Publisher
- Springer, Dordrect
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Forecasting· Hybrid architecture Soil water content Artificial neural network Support vector machine
- Keyword (fr)
- Eau sol Etude expérimentale Prévision Réseau neuronal Sol Teneur eau Chine Asie Extrême Orient
- Keyword (en)
- soil water experimental studies prediction neural networks soils water content China Asia Far East
- Keyword (es)
- Previsión Red neuronal Suelo Contenido en agua China Asia Extremo Oriente
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01P Surficial geology / 001E01P03 Soils
- Discipline
- Earth sciences
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20492410
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
10.1007/s10661-007-9967-9 
https://dx.doi.org/10.1007/s10661-007-9967-9
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