Simulation of Time Series Prediction Based on Hybrid Support Vector Regression

Abstract

The paper proposes a hybrid methodology that exploits the unique strength of the autoregressive integrated moving average model and the support vector machine model in forecasting time series. The simulation experiment results showed that the hybrid model is superior to the individual models for the test values of the turbo-generator vibration. Most of the… (More)

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