Data Based Solar Radiation Modelling - Hydrological Data Driven Modelling - page 122

Fig. 5.13 Performance of LLR and Conjugate gradient ANN during Training Phase (RMSE and
MAE Values)
Fig. 5.14 Performance of LLR and Conjugate gradient ANN during Testing Phase (MBE and R2
Values)
Fig. 5.15 Performance of LLR and Conjugate gradient ANN during Testing Phase (RMSE and
MAE Values) (Figure 5.12 to: scenario 1 indicates LLR model with [1111] inputs and training
length 1010 data points, 2 indicates LLR model with [1110] inputs and training length 1010 data
points, 3 indicates LLR model with [1111] inputs and training length 550 data points, 4 indicates
LLR model with [1110] inputs and training length 550 data points, 5 indicates ANN model with
[1111] inputs and training length 1010 data points, 6 indicates ANN model with [1110] inputs and