Suggestions(1)
Exact(60)
On his hometown track in Trexlertown, Pa., he trained by using 500- to 1,000-meter 1,000-meter.
Neural network controllers are trained by using dynamic backpropagation algorithm.
The ANN model has been trained by using a multi-scale numerical model.
For each speaker, only one model is trained by using the speaker's training data.
The parameter C Sk is trained by using the Back Propagation (BP) neural network [29, 30].
DNN8 is trained by using the sequential training cost function in Section 4.4.2.
Thus, the model can be trained by using the prepared training set.
Recurrent and back propagation neural networks are trained by using data generated from best response model.
Second ANN was trained by using these switching angles to generate PWM signals.
A probabilistic neural network (PNN) was trained by using a set of predictor attributes derived from a multiple regression analysis.
With the training dataset, the deep networks are trained by using a greedy layer-wise training method [32].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com