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.
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.
通过对设备费用样本的分析，采用了中间线性回归方法和考虑了货币的时间价值，建立了符合缺省数据费用样本的设备经济寿命预测模型。
Based on the analyzing of costs sample of equipment, set up prediction model of economic life of equipment, considering the middle-linear regression method and period value of costs.
用线性变换分形的方法分析和预测墨西哥湾平台价格，并给出有关公式。
This paper analyzes and predicts platform price in Gulf of Mexico, gives related formula with fractals method.
含噪语音经过线性预测分析后，所得的线性预测残差可分为与语音相关的语音残差部分和与噪声相关的噪声残差部分。
As the result of linear prediction analysis, the prediction residual of noisy speech can be divided into two parts: the speech residual related with speech and the noise residual related with noise.
在此基础上，分别运用多元线性回归和BP神经网络方法研究边坡稳定性预测模型，并将其结果与极限平衡分析方法进行对比。
Based on this, forecast model for slope stability was studied by multivariate linear regression and BP neural network methods, and the results were compared with those by limit equilibrium method.
在地震周期谱分析和地震间隔周期出现概率分析的基础上，建立了线性合成概率预测方法。
Based on seismic periodic spectrum and probability analyse of seismic interval periodic, we have built up the prediction method of line synthesis probability.
结合时空系统机制和历史资料的分析，建立非线性时空序列预测理论与方法。
Simultaneously, the forecast theory and method of nonlinear time series is established, which combines mechanism of the time space system with analyzing historical data.
运用定量预测法中的销售百分比法、因素分析法以及资金习性预测法下的高低点法和线性回归分析法等方法预测资金需要量。
This paper has talked about how to forecast capital requirement by way of percentage of sales method, factor analysis, capital character forecast and linear regression analysis.
从线性预测编码技术的概念入手，分析和研究了线性预测编码技术及其LPC正则方程的自相关解法。
Based on the concept of linear predication coding, analyzes and researches the linear predication coding technique and the auto-correlation solution of its LPC regularity equations.
采用线性规划方法确定最优组合的权系数，并对预测出的结果进行了分析和讨论。
The optimum-weight coefficients were obtained by the linear programming model, finally, the results were discussed.
采用线性插值及双线性插值得到预测点位置上的本征模态值。 结构由原风压场协方差分析得到的主坐标和上述新本征模态值获得未布置测压点位置的风压时间序列。
The linear interpolation and bilinear interpolation were employed to obtain the values of the proper modes on locations where the wind pressure time series are to be predicted.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
提出依据离差绝对值和准则，用目标规划建立多元线性预测方程，该方法优于回归分析。
Based on the criterion of deviation squares sum, a general forecasting equation is set up by using goal programming. It has advantages over the analysis of multi-variable linear regression.
结合主机负载和任务执行时间的线性关系，研究分析了一种基于主机负载的任务执行时间预测算法。
In this dissertation, the authors studied and analyzed an algorithm predicting the execution time of task by the linear relationship between host load and the execution time of task.
文章总结了自适应背景预测技术在红外弱小目标检测领域的典型应用，分析了线性和非线性自适应算法的优缺点。
The typical applications of adaptive background prediction technology in weak and small infrared target detection are summarized in this paper.
文章总结了自适应背景预测技术在红外弱小目标检测领域的典型应用，分析了线性和非线性自适应算法的优缺点。
The typical applications of adaptive background prediction technology in weak and small infrared target detection are summarized in this paper.
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