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where α, the updating weight, is empirically set to 0.9 in this study.
In this paper, we use a rate based version of Contrastive Divergence (CD) updating weight rule.
The proposed technique is implemented by mathematical analysis with suitable learning rate and updating weight using MATLAB/Simulink.
Weight penalty (WP): The last parameter is a constraint on the updating weight and we observe in Figs. 3 l and 4 l that the penalty can be set as penalty = 1e-2 and will influence the setting of several parameters, such as the momentum, the baseline and the fully-connected layers.
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So when updating weights at the BMU, only its 1-hop neighbors' weights are updated.
The two main phases of the algorithm are the Estimation phase (see Section "Estimation analysis") and the Update Weights phase (see Section "Updating weights").
Arbitrary updating weights and random spacing between sensors are also analyzed in the proposed algorithms.
The first 60 % are used for training, where the gradient is computed while updating weights and biases.
where is the luminance pixel of incoming frame, and are the current and updated background pixel, respectively, and is a small updating weighting factor.
A novel algorithm for updating weights in the neural network, which is not derived from the conventional back propagation algorithm, is also constructed.
Note also that adaptation (8) is local in that updating weights between 2 neurons only requires their current state/threshold and feedforward input from nearby active neurons.
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