Your English writing platform
Discover LudwigSuggestions(5)
Exact(41)
Step 2: stage of backward propagation.
To estimate the neural network weights of their neural network models, ZCS used backward propagation (BP).
They believe in the back-propagation or "backward propagation of errors" algorithm to train the artificial neural networks to get the results.
Thus, the image features and the distance metric can be optimized simultaneously by backward propagation.
In this study, two backward propagation (BP) neural network models have been designed.
The training procedure for a multilayer perceptron includes two steps, namely forward propagation and backward propagation.
Similar(19)
In addition, the three-layer B-AM can achieve asymmetric transmission (AT) for forward and backward propagations of linearly polarized waves.
The method as described above is based on an extension of the standard FDE methodology as suggested in [11], where some minor modifications are introduced in terms of forward-backward propagation in the process of measurement subset selection.
Feed-forward and error-backward propagations employ well-known sigmoidal characteristics based on the logistic function.
They focused on the Back Propagation Theory mainly formed by the idea of the exchange of information going forward and error being transmitted backward.
The connectional weights are updated during the backward error propagation according to the learning algorithm.
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