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- W406528665 abstract "Current weightless classifiers require historical data to model a system and make prediction about a system successfully. Historical data either is not always available or does not take a recent system modification into consideration. For this reason an adaptive filter is designed, which when employed with a weightless classifier enables system model, difficult to characterise system model, and system output prediction, successfully. Results of experiments performed show that the fusion of an adaptive filter and a weightless classifier is more beneficial than the filter or the classifier utilised singly, and that no speed advantage is observed." @default.
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- W406528665 date "2010-12-01" @default.
- W406528665 modified "2023-09-26" @default.
- W406528665 title "Model Learning from Weights by Adaptive Enhanced Probabilistic Convergent Network" @default.
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