Research Article
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 |
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