At the same time, due to the non-linear condition of time sequence, conventional linear Vector Autoregressive model can hardly characterize the causality among economic variables correctly.
同时由于时间序列的非线性，常规的线性向量自回归模型难以正确描述经济变量之间的因果关系。
In this paper, the structure of vector autoregressive (SVAR) model is used to investigate the dynamic impact effect of international oil price fluctuation on China's macroeconomy.
本文首次运用结构向量自回归(SVAR)模型，研究了国际油价波动对我国宏观经济所产生的动态冲击效应。
The results validate more validity of nonlinear error correction model on the wavelet neural network than linear vector autoregressive model, and forecast validly the nonlinear economy system.
研究证明，小波神经网络所建立的非线性误差校正模型有较好的预测效果，能够有效地预测非线性经济系统。
The result shows that the model has higher prediction accuracy. (2)The autoregressive model, BP neural network model and support vector machine model are studied in the paper, respectively.
分别对自回归模型、神经网络模型、支持向量机模型进行研究，以我国人口增长率为例，对人口增长率进行预测。
The result shows that the model has higher prediction accuracy. (2)The autoregressive model, BP neural network model and support vector machine model are studied in the paper, respectively.
分别对自回归模型、神经网络模型、支持向量机模型进行研究，以我国人口增长率为例，对人口增长率进行预测。
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