本文提出了一种混沌水文时间序列区间预测算法。
An interval prediction algorithm for chaotic hydrological time series is proposed.
因此可由变频器的频率对其效率进行点预测或区间预测。
Therefore, point and interval prediction for system efficiency can be realized through frequency of frequency converter.
通过线性模型的点预测和区间预测对杭州境外旅游流进行了预测预报。
Prediction on Hangzhou "s tourist flows is made by the analysis on the linear model of point prediction and interval prediction."
结果通过季节趋势预测，得到该院2010年各月门诊诊次的点估计值和区间预测值。
Results Through predicting seasonal trends, the point estimation and interval prediction of clinic visits in various months of 2010 were calculated.
最后，通过一个实例表明本文所提方法能够有效降低区间预测的误差，是一种合理和有效的区间组合预测方法。
Then we investigate the effectiveness of the solution. Finally, we reveal that the method is reasonable and effective which can effectively reduce the error of interval forecasting by a concrete case.
讨论混沌时间序列的区间预测，给出了最优嵌入维数的搜索算法及区间预测算法，并应用于实例，取得较好效果。
Algorithms for searching the optimal embedding dimension and interval prediction are presented, which can be applied in practice with satisfactory.
利用包络灰预测模型对大坝监测量的极值进行预测，改变传统对极值的预测方法，使得单一的数值预测变为区间预测。
The grey envelope model is used to predict dam monitoring data, thus, single numerical value prediction is changed to interval prediction.
没有办法解决预测误差区间宽泛的问题——一位经济学家称为“给他们翅膀”。
There is no solution in putting wide ranges of error on the predictions – what one economist called “giving them wings”.
该市场在预测区间的总预测销售价值估计为90亿美元。
This market has a total forecasted sales value of approximately ＄9 billion within the forecast period.
半定量玻片凝集试验和单管维达尔试验的阳性预测值（PPVs）分别为25.0%（95%可信区间：0.6-80.6）和20.0%（95%可信区间：2.5-55.6）。
The semiquantitative slide agglutination and single-tube Widal tests had positive predictive values (PPVs) of 25.0% (95% confidence interval, CI: 0.6–80.6) and 20.0% (95% CI: 2.5–55.6), respectively.
没有办法解决预测误差区间宽泛的问题——一位经济学家称为“给他们翅膀”。
There is no solution in putting wide ranges of error on the predictions – what one economist called "giving them wings".
在脑区间相互作用基础上，预测受试者个人工作记忆容量有望得到实现。
On the basis of interaction between the brain areas, it was even possible to predict the subject's individual working memory capacity.
针对负荷影响因素的复杂性和不确定性，结合模糊数学和线性回归模型，讨论应用模糊线性回归模型预测负荷的变化区间。
For the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
三是建立整体现金流量预测区间，使企业更好地做出财务决策。
The third one is to set up the forecast interval of total cash flow, which could let the company make better financial decision.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
该算法利用前向线性预测技术以及区间正交小波变换抑制边界效应的能力，有效地减小了角随机游走和发动机干扰。
The algorithm USES forward linear prediction and the ability of the interval wavelet transform to restrain terrible edge effects, thus, the Angle walk and engine jamming are reduced effectively.
由于该模型藕合了钢种连续冷却转变曲线，可预测相变热及相变区间，因而为新钢种开发及现有生产工艺的优化提供了依据。
As steels CCT figures have been coupled in the model, it can predict the heat and range of phase transformation, this function can provide direct help for ne...
提出了一种适用于预测可转换债券价格运行区间的GM包络模型。
It USES the model to realize the interval forecast for market price of the W convertible bond.
最小二乘支持向量机回归预测对训练样本数据区间内的预测精度很高，但是对前向外推预测效果不是很好；
RBF neural network is applied to time series forecast with the same data in order to compare the forecast effect with LS-SVM model.
该工作为可转换债券价格运行区间的预测探索了一条新的途径。
A new way of forecasting the price interval of convertible bonds is explored by means of this work.
研究利用GM包络模型预测可转换债券价格的运行区间。
This paper introduces a GM envelopment model to predict the price interval of convertible bonds.
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.
基于微波技术心脏复律结果的预测，可将诊断特异性提高至66%(在95%的可信区间)。
Cardioversion outcome prediction based on the wavelet technique increased the specificity up to 66% at the 95% sensitivity level.
针对目前以拟合精度作为模型选择标准的方法，提出了以预测值的置信区间最小为标准选择预测模型的方法。
View of the current selection of forecasting models in order to minimize the fitting error, a method of selecting forecast model was put forward based on minimum error of forecast.
说明组合预测方法产生的背景，同时分析了进行区间组合预测的必要性。
The background of combination forecasting is illustrated, and meanwhile the necessity of interval combination forecasting is analyzed.
说明组合预测方法产生的背景，同时分析了进行区间组合预测的必要性。
The background of combination forecasting is illustrated, and meanwhile the necessity of interval combination forecasting is analyzed.
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