实例计算表明，时变参数预测模型有望提高模型的预测精度。
The case study showed that the time dependent parameter model has high prediction precision.
提出一种利用非单点模糊系统建模的短波通信频率参数预测模型。
This paper presents a prediction model of frequency parameters of short-wave communication based on non-singleton fuzzy system.
同时，作为可靠性评估的基础性工作，本文提出了贝叶斯参数预测模型。
Moreover, Bayesian forecasting model is proposed as basic research of reliability evaluation.
基于BP人工神经网络的L M算法，建立了磨合磨损的分形参数预测模型。
Based on L-M algorithm of BP artificial neural network, the fractal parametric prediction model of running in and wear was established.
基于流动机理的分析建立了塞状流参数预测模型；模型中考虑了液膜的厚度变化。
Based on analysis of flow mechanism, a hydrodynamic model of slug flow in vertical pipes was developed considering the variable thickness of liquid film.
根据流体渗流理论，利用原油产能指示参数预测模型可以对产层进行原油产能预测。
According to the theory of fluid seepage flow, oil-bearing productivity was predicted using the productivity index per meter.
其结论为：通过对岩土性质及BP神经网络的研究，建立了一种新的钻孔间参数预测模型。
The conclusion of this text is: through the study on soil nature and BP neural network , a holing parameter predicts models after setting up.
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.
该方法通过建立具有模糊回归参数的回归模型，可以直接由模糊观测数据预测出未来负荷值。
With the established fuzzy regression model, the future load value can be forecasted based on the fuzzy historical observation data.
本文用模糊系统分析的方法，建立一个地区的L.R— L.P模型，利用模型的参数进行预测，提供一种辅助方法。
This paper uses the fuzzy system analysis to set up a regional L. R-L. P model, forecast with the parameter of the model and provide an auxiliary method.
在灰色g(1,1)预测模型中，参数的估计是非常重要的。
Estimation of parameters are very important in grey GM (1, 1) forecasting model.
对于发生变化的动态经济过程，应用定常参数模型进行预测时误差较大。
In forecasting dynamic economic processes by using the model with steady parameters, large errors are often discovered.
由发动机性能的设计技术参数，运用模糊线性回归理论建立了发动机经济性指标的模糊预测模型，并对其经济性指标进行预测和分析。
Based on the technical parameters for the performance of engines, the economical index of engines is predicted and analyzed by the theory of fuzzy linear regression.
本文在文献的基础上，利用模糊数学相关知识建立根据一组工艺参数进行轧制性能预测的数学模型。
Based on the literature, we establish the forecast mathematical model depend on a set of technical parameters by the fuzzy mathematics correlative knowledge.
研究了有关布朗单一参数指数平滑经济预测模型的系数的估计问题，整理并给出了比较完整的证明。
This paper analysized the estimation problem on coefficient of Brown single parameter index smooth economic prediction model followed by giving a complete attestation.
利用临床病理学参数建立的数学模型可以预测和发现有淋巴结转移倾向的高危人群。
High risk population with lymphatic node metastasis in colorectal cancer could be predicted and discovered by using the mathematical model clinicopathological parameters.
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.
获取土壤溶质迁移参数是利用数学模型预测土壤溶质迁移过程的前提。
Acquisition of soil solute transport parameters is a pre-condition for predicting solute transport using the numerical model in practice.
论文对陈明亮提出的客户终身价值评估模型中参数预测方法进行改进。
The papers made an improvement to forecast the parameters of customer lifetime value assess model which has been proposed by Chen Mingliang.
大量实验结果表明：改进的算法实现了模型参数的预测精确，提高了率失真优化性能。
Extensive experimental show that proposed scheme significantly improves model parameters prediction accuracy and enhances rate distortion performance.
本文针对运动成绩变化规律的模糊性、未知性等等，应用灰色系统理论提出预测运动成绩的灰色模型方法，由此可得对各项运动成绩预测的统一模式（参数不同）。
Taking into account the fuzziness and uncertainty of sports performances, the authors of this paper established a grey module method of prediction by applying the theory of grey system.
将沉降预测分为模型参数的预测和在此基础上的沉降预测。
Settlement prediction fell into parameters prediction and settlement prediction based on the former one.
应用实验数据回归了动力学模型参数，并将模型预测值与实验值进行了比较。
The kinetic models of cell growth and lipid formation were established, and the model parameters were regressed with the experimental data.
一般的定量预测方法因用固定参数模型预测一个时变参数系统的情况而致存在一定的局限性。
Generally fixed quantity prediction method has a certain deficit because of the case that predicts a time moving parameter system with fixed parameter model.
在此基础上建立预测模型，对不同工艺参数下等离子熔射层进行质量预测。
On this basis, the paper established a model for predicting the plasma spray coating quality under different process parameters.
给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数的参数估计方法。
In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.
同时使用灰色理论中GM预测模型对发动机的监测参数进行预测，从而及早分析出发动机所处工况。
Meanwhile, monitoring parameters will be predicted by a GM model of Grey Theory, and engine health condition will be analysed early.
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.
在阻塞预测模型分析研究中，论文分析了预测模型参数的影响。
In the research of analysis for forecast model, the effect of parameters in forecast model is analyzed.
结论基于神经网络模型的井间参数预测方法，可以为储层精细评价提供高质量的油藏地质模型。
Conclusion The method of parameter predict can provide a high quality oil pool geological model for reservoir fine evaluation.
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