Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya

<div>Observed DO and FNN-predicted DO for all the input samples within the basin (the ALL trend is for LULC and water quality parameters and its linear estimation is the Linear (ALL)).</div>

Complexity

fig11

Figure 11

Figure 11: Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya 

Figure 11 | Use of Artificial Neural Networks and Multiple Linear Regression Model for the Prediction of Dissolved Oxygen in Rivers: Case Study of Hydrographic Basin of River Nyando, Kenya 