In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
Simultaneously, the forecast theory and method of nonlinear time series is established, which combines mechanism of the time space system with analyzing historical data.
结合时空系统机制和历史资料的分析，建立非线性时空序列预测理论与方法。
Quartic exponential smoothing method can follow the nonlinear trend of time series better and can also forecast better.
布朗单一参数四次指数平滑能更好地跟踪时序的非线性变化趋势，达到更好的短期预测效果。
Quartic exponential smoothing method can follow the nonlinear trend of time series better and can also forecast better.
布朗单一参数四次指数平滑能更好地跟踪时序的非线性变化趋势，达到更好的短期预测效果。
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