Selective combination using Bayes Rule in multiple neural networks combination
What is it about?
Utilizing Bayesian predictor in choosing the "best" single neural network in each sample time for combination multiple neural networks.
Why is it important?
Long range prediction normally will accumulate an error in each sample time, therefore by having Bayesian combination predictor in selective combination in multiple neural networks did improved the performance of the network.
The following have contributed to this page: Dr Zainal Ahmad
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