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Table 3

Comparison of ANNs performance with 11 different BPLAs to predict C DCM.

BPLA Function MSE × 103 R 2 Epochs
Resilient backpropagation Trainrp 0.47245 0.99672 2000
BFGS quasi-Newton backpropagation Trainbfg 0.11915 0.999 1900
Conjugate gradient backpropagation with Powell-Beale restarts Traincgb 0.19062 0.99847 777
Conjugate gradient backpropagation with Fletcher-Reeves updates Traincgf 0.44301 0.99723 308
Conjugate gradient backpropagation with Polak-Ribiere updates Traincgp 0.16445 0.9988 1275
Gradient descent with adaptive learning rate backpropagation Traingda 1.339 0.99103 4992
Gradient descent with momentum backpropagation Traingdm 9.0481 0.939 5000
Gradient descent with momentum and adaptive learning rate backpropagation Traingdx 0.78019 0.99426 5000
Levenberg-Marquardt backpropagation Trainlm 0.05714 6 0.99954 479
One-step secant backpropagation Trainoss 0.17262 0.99866 4008
Scaled conjugate gradient backpropagation Trainscg 0.11095 0.99921 4870

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