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Strength training was performed for 20 weeks but with highly variable training patterns.
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There are a fixed number of training patterns in the training file.
General possibility of increasing training speed (in term of consumed training patterns) of autoencoders is confirmed.
number of training patterns.
Training patterns differed with respect to numbers and positions.
The exercise manual uses standard exercises and training patterns.
Figure 13b is a classifier for the training patterns.
This happens due to outliers in the training patterns.
There is also provided an optimal training pattern.
Similar to the other capacity definitions, TRB notes that different parameters and variables should be considered in the capacity analysis, such as train dispatching patterns, train type and consist, signaling system, infrastructure, track maintenance system, etc. [6].
Figure 3 Trained pattern of the neural network.
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