Browsing Faculty of Natural Resources by Subject "Climate change"
Now showing items 1-2 of 2
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Dam Water Level Prediction Using Vector AutoRegression, Random Forest Regression and MLP-ANN Models Based on Land-Use and Climate Factors.
(MDPI, 2022-11-11)To predict the variability of dam water levels, parametric Multivariate Linear Regression (MLR), stochastic Vector AutoRegressive (VAR), Random Forest Regression (RFR) and Multilayer Perceptron (MLP) Artificial Neural ... -
Estimation of Likely Impact of Climate Variability on Runoff Coefficients fromLimpopo Basin using Artificial Neural Nefwork (ANN)
(Disaster Prevention Research Institute KYoto University., 2005-01-12)Forecasting future response behaviour of a semi-arid catchment in terms of runoff coefficient being trivial, an attempt has been made io apply an Artificial Neural Network (ANN) model to-forecast the run off coefficients ...