通过对个人出行选择决策的分析，建立了出行生成的非线性预测模型。
Through to goes on a journey personally the choice decision-making analysis, established went on a journey the production non-linearity forecast model.
利用全局线性模型进行滚动优化，利用非线性预测模型校正线性模型，实现非线性预测控制。
Nonlinear predictive control is realized by the global linear model based roll optimizing, and on-time adjusting using neural network based nonlinear model of the nonlinear system.
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。
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.
另外，在对BP算法和控制器结构改进的基础上，加入了非线性预测模型，来解决热网的大滞后问题。
Furthermore, on the basis of the improvement on BP algorithm and the controller's structure, this paper adds a nonlinear prediction model to solve the time-delay problem.
同时，神经网络所具有的非线性变换特性和高度的并行运算能力使得其适合建立非线性预测模型进行参数预测。
At the same time, the nonlinear mapping property and high parallel process ability of ANN make it suitable to be applied to establish nonlinear prediction model to perform parameter prediction.
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.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
针对其存在非线性、参数时变和大延迟等难以控制的特性，提出基于T - S模糊模型的预测函数控制新方法。
As the nonlinearity, time-varying parameters and large lag make the control difficult, a predictive functional control method based on T-S (Takagi-Sugeno) fuzzy model is presented.
长期记忆性的存在使得有可能通过建立非线性经济计量模型以改进价格预测效果。
The discovery of long memory suggests possibilities of constructing nonlinear econometric models to improve price forecasting performance.
四是通过基于风险非线性叠加建立的期货组合风险评价模型解决了SPAN系统中期货组合风险的线性叠加问题，从而得到更合理的组合风险预测值。
Fourthly, using this model based on risk nonlinear addition solves the portfolio's risk linear addition problem in SPAN system, and this will help us to get more practical forecasting value.
这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠，而且计算量小、相对容易操作。
The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.
本文基于均相模型，运用非线性分岔理论，计算预测了两相自然循环系统静态分岔(流量漂移)解图。
Based on homogeneous model and with the application of nonlinear bifurcation theory, this paper presents prediction of static bifurcation (flow excursion) diagram of two-phase natural circulation.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
研究目的是建立机构复杂非线性运动参数的动态预测模型。
The aim of the study is to setup dynamical prediction model of complicated mechanism nonlinear motive parameters.
从信息论角度出发，利用神经网络非线性时间序列预测模型，构造了油田产油量、产水量的多维时间序列神经网络预测器。
In this paper, using neuron network models of nonlinear multidimensional time series prediction, neuron network predictors for the oil production and water production of oil fields were constructed.
针对非线性系统，提出一种基于单步预测的模型参考自适应逆控制方案。
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
综合利用井中的地震、测井和钻井资料等，用统计拟合方法和非线性反演方法建立压力预测模型。
A pressure predicting model is established by synthetically using the data of seism, well logging and well drilling in combination with statistical matching method and nonlinear inversion.
在两个亚系统的二元非线性模式确定以后，给出了产量损失预测模型的一般形式。
After determining duality nonlinear functions of two subsystem, we give the general form of yield loss forecasting model.
针对工业过程和实际控制对象的慢时变非线性的特点，设计了一种预测模型的单神经元PI控制器。
A single neuron PI controller with predictive model is designed according to nonlinear systems of many industry processes and practical plants.
针对离散不确定模糊模型，提出了一种鲁棒非线性模型预测控制方法。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
仿真结果表明，用GMDH方法建立非线性系统模型，具有预测精度高、计算稳定性好等优点。
Simulation result shows that GMDH method can be applied to nonlinear system modeling successfully and has such advantages as higher prediction precision and good calculation stability, etc.
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
提出了一种新的基于T_S模糊模型的非线性预测控制策略。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
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。
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.
并根据新竹产量与竹林密度和林分年龄组成的非线性相关关系，建立了新竹产量的预测模型。
The model of calculating new culm yield has also been established depending on the nonlinear relationship between new culm yield and bamboo stand density, culm age component.
研究了基于人工神经元网络模型的非线性预测控制。
The study of nonlinear predictive control based on artificial neural networks is carried out.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
为了减少气候灾害造成的损失，提高灾害性气候的预测水平，用非线性预报原理和方法，建立了气候灾害的数学预测模型。
To reduce the effect of climatic disaster and improve it's forecast level, the nonlinear forecast model of the climatic disaster was set up.
为了减少气候灾害造成的损失，提高灾害性气候的预测水平，用非线性预报原理和方法，建立了气候灾害的数学预测模型。
To reduce the effect of climatic disaster and improve it's forecast level, the nonlinear forecast model of the climatic disaster was set up.
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