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a) IND E train b) IND A train c) BMT R train d) IRT 9 train 5.
Supervised learning is used to train C and S layers.
For each train (C i ), there exists an origin-destination pair node (O i, D i ).
a Braking with powering train, b braking without powering train, c braking without powering train, but with energy storage system.
where hBS is the antenna height of the track-side base station and hMS is the antenna height of the wireless gateway on the train; c is the velocity of light in vacuum.
The mean weight vector (principal component) w mean c for each class is calculated using the first l weights that belong to the eigenvectors with the largest eigenvalues (l < k, where k is the total number of training sample images in all the classes combined, k c is the number of training samples in a class c, and l will be the dimension of w mean c ). w mean c = 1 k c ∑ u T. σ train c (8).
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To train C-Path, the researchers used existing tissue samples taken from patients whose prognosis was known.
MWM at 28 weeks (16 weeks post-NSC/vehicle transplant); escape latency during 5 d hidden platform training (c; 6 trials per day) and 24 h probe trial quadrant statistics (d), escape latency (e) and swim speed (f).
Reverse iterative: training c 1 with D n. 6.
Loop: training C i with D i and E i−1 4.
Reverse iterative: training c 1 with D n. Loop: training c i with D i and E n−i.
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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