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Table 7 Results obtained in testing phase

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