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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Bibliographic Details
Main Authors: Juahir, Hafizan, Ramli, Mohammad Firuz, Yusoff, Mohd. Kamil, Mohd Zain, Sharifuddin, Oksel, O., Mat Perak, Z., Haron, A.R.
Format: Article
Language:English
English
English
Published: 2008
Subjects:
Forest management - Kelantan -Berring River.
Forest - Neural networks (Computer science).
Suspended sediments - Kelantan -Berring River.
Online Access:http://psasir.upm.edu.my/id/eprint/17277/
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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