To work out the effective input parameters in the computation of the OTE at the gabion weir, a sensitivity investigation was performed with the BPNN as this model depicted the highest computed accuracy for this dataset. Firstly, models utilizing different parameters are made out, and corresponding values of cc and rmse are measured (Table 7). The model's performance potential during training and testing is checked by eliminating each input parameter one after the other. The highest fluctuation in the results of cc and rmse is noted when discharge per unit length (q) is pulled out from the input grouping in testing, which implies the critical importance of q in affecting the computation of OTE20, followed by the size of gabion particle (d50) input parameter
Sensitivity investigation
Input combination . | Input parameter removed . | Training . | Testing . | ||
---|---|---|---|---|---|
cc . | rmse . | cc . | rmse . | ||
q, d50, n, h | – | 0.956 | 0.033 | 0.900 | 0.041 |
q, d50, n | h | 0.8713 | 0.0468 | 0.85 | 0.047 |
q, d50, h | n | 0.87 | 0.048 | 0.87 | 0.043 |
d50, n, h | q | 0.85 | 0.05 | 0.15 | 0.095 |
q, n, h | d50 | 0.86 | 0.047 | 0.80 | 0.05 |
Input combination . | Input parameter removed . | Training . | Testing . | ||
---|---|---|---|---|---|
cc . | rmse . | cc . | rmse . | ||
q, d50, n, h | – | 0.956 | 0.033 | 0.900 | 0.041 |
q, d50, n | h | 0.8713 | 0.0468 | 0.85 | 0.047 |
q, d50, h | n | 0.87 | 0.048 | 0.87 | 0.043 |
d50, n, h | q | 0.85 | 0.05 | 0.15 | 0.095 |
q, n, h | d50 | 0.86 | 0.047 | 0.80 | 0.05 |