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非线性预报
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  nonlinear prediction
     Nonlinear Prediction of ENSO
     ENSO非线性预报
短句来源
     Nonlinear Prediction and Analysis on Power Load
     电力负荷非线性预报与分析
短句来源
     Main results:(1) To analyze the data of neurons firing with different nonlinear methods, it was presented that correlation dimension and nonlinear prediction areonly used in low dimensional system.
     为今后癫痈疾病的预报做准备。 结果如下:门)通过运用不同非线性方法分析神经元阵发放电序列数据表明:相关维和非线性预报两方祛仅适用于低维混i屯系统;
短句来源
     And then the ECoG sequences are considered as a chaotic series combining nonlinear prediction with surrogate data method, and are educed to be not a low-dimensional chaos.
     然后采用非线性预报和替代数据法相结合的方法确定ECoG为混沌时间序列 ,从不同角度得出了ECoG不是低维混沌的结论 .
短句来源
     So it is important to study ship movement nonlinear prediction and anti-roll control method.
     因此研究有关船舶运动的非线性预报与减摇控制方法具有非常重要的意义。
短句来源
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  nonlinear forecasting
     Nonlinear forecasting of electric load in Guangdong Province
     广东省电力负荷非线性预报与分析
短句来源
     In this paper, a method to select some nonlinear predictors and to build a nonlinear forecasting equation was proposed based on optimization principles.
     本文根据最优化方法原理,提出了选择非线性最优预报因子和建立非线性预报方程的办法。
短句来源
     The essay also studied nonlinear forecasting model based on neural networks .
     研究了基于神经网络的加工尺寸非线性预报建模问题。
短句来源
     Based on the observation data of water and sediment at two hydrometrical stations in the Yellow River, the primary influence factors of stage were selected by using nonlinear analysis and other methods. Based on the fitting models of stage, forecasting models of stage are developed and nonlinear forecasting of stage hydrograph is realized. 
     结合黄河下游冲淤型河段两个水文站的实测水沙资料,用非线性分析等方法,找出影响河道水位的主要非线性影响因素,在水位拟合模型的基础上,得出水位预报模型,实现水位过程的非线性预报.
短句来源
  “非线性预报”译为未确定词的双语例句
     Nonlinear time series prediction model for dam seepage flow based on PSO-SVM
     基于PSO-SVM的大坝渗流监测时间序列非线性预报模型
短句来源
     Results showed that there were chaotic attractors in the system and the least embedding dimension was 5 for describing the system, 100 points could be predicted with the non-linear model from the original 1 000 points with errors under 5~0_0. Errors increased when exceeding 100 points, and a short non-linear forecasting was possible.
     结果表明,系统存在混沌吸引子,最小嵌入维数为5; 控制误差在50/0以内,非线性模型可以由原始数据的1 000个点预测100个点,超过100点时误差变大,说明了短期的非线性预报的可行性;
短句来源
     The nonlinear multiple spline regression model was advanced.
     针对异常复杂的非线性预报系统,提出非线性多元样条回归预报模型。
短句来源
     A NONLINEAR PREDICTOR-CORRECTOR INTERIOR POINT METHOD FOR REACTIVE POWER OPTIMIZATION IN POWER SYSTEM
     基于非线性预报-校正内点法的电力系统无功优化研究
短句来源
     Approach to nonlimear prediction of AE index
     AE指数非线性预报的探讨
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  nonlinear prediction
The methods used are based on phase-dynamics modeling and nonlinear prediction models (a nonlinear version of Granger causality).
      
Based on the idea of nonlinear prediction of phase space reconstruction, this paper presented a time delay BP neural network model, whose generalization capability was improved by Bayesian regularization.
      
Four NCs of scalar EEG time series were estimated: Point-wise Correlation Dimension (PD2), Kolmogorov Entropy (K2), and Largest Lyapunov Exponent (LLE) as a function of time, and Nonlinear Prediction (NP) for successive EEG segments.
      
For analysis of the in vivo physiological responses of cricket wind receptor cells, we apply ISI reconstruction, nonlinear prediction and the surrogate data method to the experimental data.
      
The deterministic dependence between two spike trains can be measured with statistical significance using a method of nonlinear prediction.
      
更多          
  nonlinear forecasting
Modeling Human Chaotic Behavior: Nonlinear Forecasting Analysis of Logistic Iteration
      
The model results are compared to actual data by a combination of nonlinear forecasting techniques.
      
From the results, the conclusion is drawn that compared with the correlation dimension, nonlinear forecasting is more efficient and robust for chaotic ISI time series analysis in a noisy environment.
      
Here we confirm this finding by examining the rate of decay of nonlinear forecasting of predictive latencies.
      
Application of nonlinear forecasting techniques for meteorological modeling
      
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In this paper, a method to select some nonlinear predictors and to build a nonlinear forecasting equation was proposed based on optimization principles. The experiments show both the nonlinear predictors and corresponding equation based on this method are better than those linear equations. Finally, the authors indicate that this method can be extended to building of nonlinear discriminatory equation when predi-ctands are discrete. This method is applicable to various forecastings of long-, medium- and short-ranges....

In this paper, a method to select some nonlinear predictors and to build a nonlinear forecasting equation was proposed based on optimization principles. The experiments show both the nonlinear predictors and corresponding equation based on this method are better than those linear equations. Finally, the authors indicate that this method can be extended to building of nonlinear discriminatory equation when predi-ctands are discrete. This method is applicable to various forecastings of long-, medium- and short-ranges.

本文根据最优化方法原理,提出了选择非线性最优预报因子和建立非线性预报方程的办法。试验表明:用此方法选出来的非线性预报因子和建立的方程比线性的好。最后还指出了此方法可推广到预报量离散的情况,建立非线性的判别方程,同时可用于长、中、短期天气预报。

In this paper, four types of predictors were proposed from the actual situation of relationship between predictand and predictors, then the optimal predictors were selected using the principles of optimization method, at the same time the optimal prediction equation was selected based on the method which was used to the forcing introduction of some important predictors. The computing results from two examples show that the optimal predictors were mainly nonlinear, so that the prediction equations builded from...

In this paper, four types of predictors were proposed from the actual situation of relationship between predictand and predictors, then the optimal predictors were selected using the principles of optimization method, at the same time the optimal prediction equation was selected based on the method which was used to the forcing introduction of some important predictors. The computing results from two examples show that the optimal predictors were mainly nonlinear, so that the prediction equations builded from stepwise regression or step-wise discrimination method were also nonlinear. The authors bear out that the prediction acuracy of the nonlinear equation is better than the linear one. Finally, the authors also indicate this nonliear prediction techniques might extend to various aspects relating to the quantitative and qualitative forecasting works on multivariate analysis.

本文根据预报量与预报因子关系的实际情况,提出了预报因子的四种类型,并且利用最优化方法原理选取最优的预报因子,同时还利用强迫引进重要因子的办法选取最优预报方程。从实例计算证明,最优预报因子基本上是非线性的,所以用逐步回归或逐步判别方法建立的预报方程也是非线性的,并且还证明,非线性预报方程比线性预报方程效果有明显的提高。本文最后还指出,此种非线性预报方法可推广到各个领域有关多元分析的定量和定性预报工作中去。

In this paper, fifteen kinds of ordinary functions were applied to select the nonlinear predictors. Coarse and fine selections were accepted. A nonlinear forecasting equation has been built. The results showed that the predictors had 390 kinds of formation and the effects of the nonlinear forecasting equation in this method were better than those of the linear equations.

本文使用常见的15类函数,采取粗选与精选两步,选择非线性预报因子。根据预报对象与因子时空尺度相匹配的原则,确定待选因子,建立非线性回归预报方程。试验表明,预报因子出现的形态高达390类,且非线性方程的效果优于线性方程。

 
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