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Time series analysis and prediction is an important means of dynamic system modeling. A new method of time series prediction based on support vector regression (SVR) is introduced to resolve the problem of non-linear system modeling. For the purpose of reducing calculation complexity, smooth method is presented to improve standard SVR arithmetic, and is utilized to build the combustion state model...
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