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Table 4 Training time comparison

From: Modeling of smartphones’ power using neural networks

Training function  
FFBP CFFBP
n = 10 n = 20 n = 10 n = 20
trainbfg 560.1874 577.9164 488.3009 885.5299
trainbr 529.1933 661.35 709.0895 944.2664
traincgb 685.6228 715.9561 686.6167 762.2569
traincgf 728.115 640.3829 1034.791 1118.346
traincgp 683.7995 674.8491 507.0572 1003.557
traingd 252.4434 9.03335 397.8197 9.829319
traingdm 10.21414 19.31096 8.943479 23.59974
traingda 73.37219 124.8304 168.5904 186.7978
traingdx 149.7136 160.7029 137.9587 162.3984
trainlm 268.3789 380.7035 576.4763 929.8259
trainoss 375.6005 345.4326 854.437 658.3433
trainrp 253.1726 268.0829 407.9637 418.6255
trainscg 393.1616 483.8855 295.2382 835.7505