本文采用一类非线性自回归模型(NARX)，描述怠速过程中怠速供油量、点火提前角与曲轴转速之间的关系。
This paper presents a nonlinear autoregressive exogenous (NARX) model to approximate dynamics of crankshaft speed with the mass of the idle feeding fuel and the spark advance.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
门限自回归模型是一种新近创立的非线性时间序列摸型。
The threshold autoregressive model is a kind of non-linear time series model recently established.
提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
本文使用非线性向量自回归模型和脉冲反应函数，分析“产出-就业”系统在外部冲击下的反应。
By using nonlinear VAR model and impulse response function, this paper explores the reaction of "output—employment" system under the outer shocks.
为了探索这种活动机制，本文用基于非线性自激振动的指数自回归模型来研究这些特征。
To study this mechanism, we used the exponential autoregression model which is originated from non-linear auto-vibration.
非参数自回归模型因其能够描述许多数据自身所体现的非线性特征而受到人们的广泛关注。
Nonparametric autoregressive model have gained much attention recently, due primarily to the fact that they can describe some nonlinear features exhibited by many data itself in applications.
门限自回归模型（TAR）是一种分段线性的非线性时间序列模型。
Threshold autoregressive model (TAR) is a nonlinear sequential model which is segmentedly linear.
根据带控制变量的非线性自回归滑动平均(NARMAX)模型理论，建立了锚泊线的系统模型。
A system model of a mooring line was constructed according to the NARMAX model theory.
基于非线性自回归（NARX）动态神经网络模型结构建立了总体转矩需求计算模型。
The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.
提出了一类新的用于非线性时间序列建模的混合自回归滑动平均模型。
We obtain some results as follows:In chapter 2, a new mixture autoregressive moving average model is proposed for modeling nonlinear time series.
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。
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.
本文概述了时序分析的非线性模型类，详细叙述了门槛自回归模型的建模思想和方法。
In this paper a variety of time series nonlinear models are introduced and the idea and modeling method of the threshold autoregression are discussed in detail.
针对生物发酵过程中温度控制难以建模的问题，基于非线性自回归滑动平均（NARMA）模型，设计了神经网络自回归滑动平均（NN-NARMA）模型。
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.
针对板带轧机液压agc系统在线故障诊断问题，建立了一种基于非线性自回归滑动平均模型NARMA的递归神经网络，通过AIC定阶法确定模型阶次。
For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
针对板带轧机液压agc系统在线故障诊断问题，建立了一种基于非线性自回归滑动平均模型NARMA的递归神经网络，通过AIC定阶法确定模型阶次。
For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
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