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These two features may indicate that during Type 2 epochs the Aa perturbations are smaller than during Type 1 epochs.
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In generating random data, we discarded values less than 1 epoch; in other words, n values reflect the number of draws ≥1 epoch.
In each simulation, the fast τ was fixed at 1 epoch, and the value of the second (slow) τ varied from 2 to 60 epochs (y-axis).
Over the interval from the Paleozoic to the present, nearly 40 epochs are recognized.
The training was stopped after 20 epochs.
The network was trained along 20 epochs.
RANDOM converges in approximately 250 epochs.
The learning rate of the first 10 epochs is 0.0001, the 11 to 20 epochs is 0.00001, while that of the other 10 epochs is 0.000001.
The training phase is completed after 6,00,000 epochs (Fig. 16).
Fig. 8 The network energy after 600 epochs.
EXPLOITATION provides the fastest convergence within the first 100 epochs.
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