Sentence examples for the learning rule for from inspiring English sources
And the learning rule for W T and c in the backpropagation algorithm is especially given as follows: Delta {W}^T=left {y}^{(n)}-{x}^{(n)}right cdot {left sigma left(W{W}_{ZCAwhite}{x}^{(n)}+bright)right)}^T (6) Delta c={y}^{(n)}-{x}^{(n)} (7).
Later formulations of the learning rule (for instance by [7]) have shown that a spatial average can be used in lieu of a temporal average, and that with (p=2), (E[v^{p}]) is an excellent approximation of (E^{p}[v]).
Again we will demonstrate the learning rule for components representing angle α1.
The learning rule for P was shown as the equation with delta P. The equation indicated the output has been added for clarity.
Page 6 under environment adapter section: Authors should consider adding the equation in which x c' and y c' = Phat -1 [x c y c] and the learning rule for P, as they do for indicating the update of W. Page 7: Authors randomize the order of the 4 experiments to account for the order of the task.
A representative example of how rules for anomaly detection are defined and applied is given by the LEarning Rules for Anomaly Detection (LERAD) model [25, 26].
The Local Outlier Factor (LOF) [27] is an unsupervised approach, which is used in the LEarning Rules for Anomaly Detection (LERAD) model [25].
While the networks we use are obtained from experimental measurements and, as such, are given, there are different options for the learning rule of the agents we place on the network.
We evaluate this learning rule for sequence memory networks with instantaneous feedback inhibition and show that little surprisingly, memory capacity degrades with increased variability in sparseness.
Thirdly, the perceptron network topology would be updated according to the customer service, which would be updated based on the perceptron learning rule for improving the training practice efficiency.
[5], (phi v) = v v-theta)) is used, (E[v v-thetarunnisg temporal average of v and the learning rusedis stablE[v]r (p>1).
