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Table 6

Comparison of different models for optimum design of lined rectangular channels

ModelEquation no.RMSEMAER2MARE
(a) For calculating optimum  
Swamee et al. (2000)  (19) 0.0129 0.0121 0.9966 0.0063 
Aksoy & Altan-Sakarya (2006) – First model (21) 0.0335 0.0144 0.9754 0.0070 
Aksoy & Altan-Sakarya (2006) – Second model (23) 0.0099 0.0082 0.9972 0.0042 
Niazkar & Afzali (2015)  (25) 0.0041 0.0030 0.9977 0.0015 
Nonlinear regression (this study) (38) 0.0276 0.0169 0.9234 0.0085 
ANN (this study) – 0.0002 0.0001 1.0000 0.0000 
GP (this study) – 0.0002 0.0001 1.0000 0.0001 
(b) For calculating optimum  
Swamee et al. (2000)  (20) 0.0026 0.0022 0.9948 0.0025 
Aksoy & Altan-Sakarya (2006) – First model (22) 0.0116 0.0058 0.9749 0.0071 
Aksoy & Altan-Sakarya (2006) – Second model (24) 0.0050 0.0042 0.9955 0.0048 
Niazkar & Afzali (2015)  (26) 0.0013 0.0010 0.9988 0.0011 
Nonlinear regression (this study) (39) 0.0089 0.0063 0.9412 0.0074 
ANN (this study) – 0.0002 0.0001 1.0000 0.0001 
GP (this study) – 0.0004 0.0003 0.9999 0.0003 
ModelEquation no.RMSEMAER2MARE
(a) For calculating optimum  
Swamee et al. (2000)  (19) 0.0129 0.0121 0.9966 0.0063 
Aksoy & Altan-Sakarya (2006) – First model (21) 0.0335 0.0144 0.9754 0.0070 
Aksoy & Altan-Sakarya (2006) – Second model (23) 0.0099 0.0082 0.9972 0.0042 
Niazkar & Afzali (2015)  (25) 0.0041 0.0030 0.9977 0.0015 
Nonlinear regression (this study) (38) 0.0276 0.0169 0.9234 0.0085 
ANN (this study) – 0.0002 0.0001 1.0000 0.0000 
GP (this study) – 0.0002 0.0001 1.0000 0.0001 
(b) For calculating optimum  
Swamee et al. (2000)  (20) 0.0026 0.0022 0.9948 0.0025 
Aksoy & Altan-Sakarya (2006) – First model (22) 0.0116 0.0058 0.9749 0.0071 
Aksoy & Altan-Sakarya (2006) – Second model (24) 0.0050 0.0042 0.9955 0.0048 
Niazkar & Afzali (2015)  (26) 0.0013 0.0010 0.9988 0.0011 
Nonlinear regression (this study) (39) 0.0089 0.0063 0.9412 0.0074 
ANN (this study) – 0.0002 0.0001 1.0000 0.0001 
GP (this study) – 0.0004 0.0003 0.9999 0.0003 
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