Active Vibration Control of the Smart Plate Using Artificial Neural Network Controller

Table 4

Different efficiency of training functions.

Training methods	Full form of the functions	Training efficiency
Train	Train neural network	36.3
Trainb	Batch training with weight and bias learning rules	0.13
Trainbfg	BFGS quasi-Newton backpropagation	34.9
Trainbfgc	BFGS quasi-Newton backpropagation for use with NN model reference adaptive controller	86.13
Trainbr	Bayesian regularization	99.4
Traincgb	Powell-Beale conjugate gradient backpropagation	42.14
Traincgf	Fletcher-Powell conjugate gradient backpropagation	79.86
Traincgp	Polak-Ribière conjugate gradient backpropagation	77.16
Traingd	Gradient descent backpropagation	58.192
Traingda	Gradient descent with adaptive learning rule backpropagation	47.11
Traingdm	Gradient descent with momentum backpropagation	23.28
Traingdx	Gradient descent with momentum and adaptive learning rule backpropagation	40.9
Trainlm	Levenberg-Marquardt backpropagation	72.48
Trainoss	One-step secant backpropagation	83.09