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The knowledge gained from the trained samples are used by the network to identify the incomplete sample, optimal center and bond strength of hidden & output neurons.
The treadmill trained samples were compared to the SCI samples collected at the same time point to obtain differences between the trained muscles and untrained muscles at a specific time point (day 8 and day 14).
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Additional voting by input training samples in reverse order.
Given a training sample matrix X ∈ R m × n which is made up of nm-dimensional training samples, assume that sufficient training samples belonging to the kth class.
Therefore, suppose there are n training sample and each training sample contains six values of economic indicators.
Fig. 2 Synthetic training samples.
defining thresholds for training samples.
Training samples are gained by FEM analysis.
Dependence on the number of training samples.
Malicious training samples are kept indefinitely.
(w, c(w)) is a training sample, and D is the set of all training samples.
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