a nonlinear time series model 非线性时序分析
A new stepped evolutionary scheme is designed to search the global optimal structure and parameters of the nonlinear time series model.
设计了模型结构和参数分别进化，共同识别方案，实现对非线性时间序列分析模型结构和参数进行全局最优搜索。
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。
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
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