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time-series-prediction-survey

time-series-prediction-survey

陈重丶
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发布于
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1920
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Time series prediction techniques have been used in many real-time world applications such as financial prediction, electric utility load forecasting, weather and environmental state prediction, And forecasting. The physicist system models and The series data, The processes are generally complex for these applications and The models for these systems are usually not known . The accuracy and unconfirmed estimation of the time series Dan produced by these systems cannot always be obtained using well known linear techniques, The estimation process requires more advanced time series prediction algorithms. This paper provides a survey of series prediction applications using a novel machine learning approach: The Support Vector those. The physicist
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