From: Development of particle swarm clustered optimization method for applications in applied sciences
Method | Statistical index | ||||
---|---|---|---|---|---|
RMSE (m3/s) | R2 | MAE (m3/s) | NSE | IA | |
ANFIS | 109.899 | 0.96 | 72.315 | 0.958 | 0.989 |
MLPNN | 112.101 | 0.959 | 73.015 | 0.956 | 0.989 |
LE-PSCO | 171.973 | 0.906 | 118.939 | 0.898 | 0.974 |
NE-PSCO | 113.427 | 0.958 | 71.583 | 0.956 | 0.989 |
MLPNN-PSCO | 109.963 | 0.96 | 72.724 | 0.958 | 0.989 |
ANFIS-PSCO | 108.433 | 0.961 | 71.557 | 0.959 | 0.99 |
LE-PSO | 172.53 | 0.905 | 119.245 | 0.897 | 0.974 |
NE-PSO | 113.925 | 0.958 | 72.444 | 0.955 | 0.988 |
MLPNN-PSO | 111.376 | 0.959 | 72.327 | 0.957 | 0.989 |
ANFIS-PSO | 109.221 | 0.961 | 71.716 | 0.959 | 0.989 |
LE-AGPSO | 172.824 | 0.906 | 120.234 | 0.897 | 0.973 |
NE-AGPSO | 112.847 | 0.958 | 72.061 | 0.956 | 0.989 |
MLPNN-AGPSO | 113.091 | 0.958 | 70.356 | 0.956 | 0.989 |
ANFIS-AGPSO | 110.429 | 0.96 | 71.527 | 0.958 | 0.989 |
LE-INFO | 172.198 | 0.905 | 119.756 | 0.897 | 0.974 |
NE-INFO | 113.757 | 0.958 | 73.399 | 0.955 | 0.988 |
MLPNN-INFO | 110.984 | 0.959 | 70.601 | 0.957 | 0.989 |
ANFIS-INFO | 111.28 | 0.959 | 71.098 | 0.957 | 0.989 |
LE-DMOA | 172 | 0.905 | 119.26 | 0.898 | 0.974 |
NE-DMOA | 113.891 | 0.958 | 73.017 | 0.955 | 0.988 |
MLPNN-DMOA | 159.048 | 0.929 | 86.81 | 0.913 | 0.974 |
ANFIS-DMOA | 124.855 | 0.95 | 86.934 | 0.946 | 0.986 |