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To update the weights of actor and critic NNs, a least-square approach is developed based on the method of weighted residuals.
In this paper, a model has been proposed for classification using bat algorithm to update the weights of a Functional Link Artificial Neural Network (FLANN) classifier.
Advanced weight tuning algorithm based on a modified delta rule and projection algorithm are used to update the weights of the proposed neural network (NN) and improve the learning rate.
This error is used to update the weights of all the connections in the ANN.
Once the network architecture is established, a back propagation (BP) algorithm is used to update the weights of the MLPs.
To update the weights of the deviational variables, in the case when the current solution is not satisfactory, we apply the following procedure.
Similar(52)
The adaptation law updating the weights of neural network can guarantee the stability of the fault detection scheme.
This approach adequately uses the structural characteristic of similar composite systems to resolve the difficult questions of the interconnection by updating the weights of NN on line.
In the process of evidence updating, the weights of evidence for linear combination can be obtained by dynamically minimizing the distance between the updated alarm evidence and the true mode (i.e., "alarm" or "no-alarm").
In the proposed system, this is handled as follows: By applying weak classifiers to another set of samples, the reservoir set, the weights of these samples are updated with the same process that updates the weights of the samples in training.
During the parameter learning phase, the hypergraph is refined by updating the weights of the hyperedges (representing higher-order miRNA-mRNA modules).
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Justyna Jupowicz-Kozak
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