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. 2018 May 14;8(31):17346–17356. doi: 10.1039/c8ra01504j

Performances of various training functions for the network with the tansig functiona.

Training functions MSE IN R 2 BLE
Trainrp 0.0400 85 0.980 Y = 0.96X + 2.6
Traincgf 0.0404 76 0.981 Y = 0.98X + 1.3
Traincgp 0.0390 47 0.981 Y = 0.96X + 2.7
Traincgb 0.0369 43 0.982 Y = 0.97X + 1.9
Trainlm 0.0178 28 0.992 Y = 0.99X + 0.72
Trainscg 0.0402 62 0.981 Y = 0.97X + 2.5
Trainbfg 0.0386 31 0.982 Y = 0.98X + 0.61
Trainoss 0.0384 81 0.981 Y = 0.98X + 1.2
a

IN = iteration number, BLE = best linear equation.