Sentence examples for model training output from inspiring English sources

Fig. 7 Outage #5 SVM model training output compared to the real KF output Fig. 8 Outage #7 SVM model training output compared to the real KF output.

During model training, the output of KF is delivered to FOS to build the nonlinear model.

Thus, while output in a temporary job, ( f(e_{T}),) remains the same as in the model ignoring training, output in a permanent job becomes now (g tau )z(F f(e_{P}),) with (g^{prime }>0) and ( g^{prime prime }<0).

CCD matrix generated from RSM along with the output results was used in ANN modeling to train output and input layer.

At each iteration, the error between the estimated output from the ANN model trained in the previous iteration and the target output is minimized.

The output of the model trained on the complete set of ramps is shown as plain line.

Comparison with the output of the model trained on the entire set of ramps (plain blue line, parameter set presented in Table 3 ) shows nearly no difference with the model trained on a subset of linear ramps.

The output of the model trained on the entire set of ramps (plain line, parameter set listed in Table 1 ) shows nearly no improvement compared to the model trained on the subset of linear ramps.

Therefore, the prediction task of a model trained for currency trading can have three outputs: buy, sell, or do nothing.

The predictions of the model trained on the linear ramps alone (dashed line) show nearly no difference with the output of the model trained on the entire set of ramps (plain line).

The model data shown in the Table 2 is trained using a radial basis neural network model trained with various input vectors so as to reduce the error between the plant data and neural network outputs.