Progress in Earth and Planetary Science

Table 6 Results obtained in training and validation phases

From: Development of particle swarm clustered optimization method for applications in applied sciences

Method	Statistical index
	Training			Validation
	RMSE (m³/s)	R²	NSE	RMSE (m³/s)	R²	NSE
ANFIS	110.535	0.957	0.957	116.537	0.958	0.955
MLPNN	114.984	0.954	0.954	118.557	0.956	0.954
LE-PSCO	168.998	0.904	0.9	170.641	0.907	0.904
NE-PSCO	119.507	0.95	0.95	120.53	0.954	0.952
MLPNN-PSCO	116.915	0.952	0.952	115.478	0.959	0.956
ANFIS-PSCO	108.333	0.959	0.959	113.878	0.959	0.957
LE-PSO	169.778	0.904	0.899	171.508	0.907	0.903
NE-PSO	119.644	0.95	0.95	120.603	0.954	0.952
MLPNN-PSO	114.332	0.954	0.954	117.354	0.957	0.955
ANFIS-PSO	110.746	0.957	0.957	115.115	0.959	0.956
LE-AGPSO	168.022	0.904	0.902	169.287	0.908	0.906
NE-AGPSO	119.101	0.951	0.951	120.746	0.954	0.952
MLPNN-AGPSO	118.268	0.951	0.951	121.203	0.954	0.952
ANFIS-AGPSO	114.407	0.954	0.954	117.222	0.957	0.955
LE-INFO	167.65	0.904	0.902	169.769	0.908	0.905
NE-INFO	119.176	0.951	0.951	120.547	0.954	0.952
MLPNN-INFO	114.712	0.954	0.954	118.262	0.957	0.954
ANFIS-INFO	116.369	0.953	0.953	116.369	0.953	0.953
LE-DMOA	167.514	0.904	0.902	169.87	0.908	0.905
NE-DMOA	119.497	0.95	0.95	120.182	0.954	0.953
MLPNN-DMOA	168.948	0.917	0.901	190.611	0.918	0.881
ANFIS-DMOA	126.761	0.944	0.944	126.487	0.949	0.947

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