The prediction of suspended solids of river in forested catchment using artificial neural network

The prediction of suspended solids of river in forested catchment using artificial neural network

This study presents an artificial neural network (ANN) model that is able to predict suspended solids concentrations in forested catchment namely Berring River, Kelantan, Malaysia.The network was trained using data collected during a period of 13 days in April 2001. The sampling location was establi...

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Dades bibliogràfiques
Autors principals: Juahir, Hafizan, Ramli, Mohammad Firuz, Yusoff, Mohd. Kamil, Mohd Zain, Sharifuddin, Oksel, O., Mat Perak, Z., Haron, A.R.
Format: Article
Idioma:English
English
English
Publicat: 2008
Matèries:
Forest management - Kelantan -Berring River.
Forest - Neural networks (Computer science).
Suspended sediments - Kelantan -Berring River.
Accés en línia:http://psasir.upm.edu.my/id/eprint/17277/1/The%20prediction%20of%20suspended%20solids%20of%20river%20in%20forested%20catchment%20using%20artificial%20neural%20network.pdf
http://psasir.upm.edu.my/id/eprint/17277/2/The%20prediction%20of%20suspended%20solids%20of%20river%20in%20forested%20catchment%20using%20artificial%20neural%20network.pdf

Internet

http://psasir.upm.edu.my/id/eprint/17277/1/The%20prediction%20of%20suspended%20solids%20of%20river%20in%20forested%20catchment%20using%20artificial%20neural%20network.pdf
http://psasir.upm.edu.my/id/eprint/17277/2/The%20prediction%20of%20suspended%20solids%20of%20river%20in%20forested%20catchment%20using%20artificial%20neural%20network.pdf

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