Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks-中国期刊网

摘要 IntheresearchofusingRadialBasisFunctionNeuralNetwork(RBFNN)forecastingnonlineartimeseries,weinvestigatehowthedifferentclusteringsaffecttheprocessoflearningandforecasting.Wefindthatk-meansclusteringisverysuitable.Inordertoincreasetheprecisionweintroduceanonlinearfeedbacktermtoescapefromthelocalminimaofenergy,thenweusethemodeltoforecastthenonlineartimeserieswhichareproducedbyMackey-Glassequationandstocks.Byselectingthek-meansclusteringandthesuitablefeedbackterm,muchbetterforecastingresultsareobtained.

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Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks

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Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks

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