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- A recursive prediction error algorithm which converges fast is applied to tra. 采用了收敛速度较快的递推预报误差算法训练神经网络。
- The paper introduces the grey forecasting model and analy ses its prediction error as well as application in detail. 详细介绍了灰色预测方法并分析了预测误差及其实用价值。
- An MD prediction error coding method is also proposed using low quality macroblock update. 该方案在丢包环境下取得较好的抗丢包性能。
- It is proved to have the same asymptotic statistical properties as the prediction error method(PEM). 证明了该方法与预报误差法具有相同的渐近和统计性能。
- The prediction formula and its error estimation are also established.Its regression and time-varying autoregression model is presented. 在此基础上建立时变序列预测公式及误差估计公式,给出其回归与时变自回归模型。
- My research concentrates on discretization of model optimal control problem, development of the posteriori error estimator and designment of efficient solver for discrete optimal control problem. 我的研究在于为模型最优控制问题提供离散方案,进行误差估计以及设计快速求解算法。
- In the method, the criterion of final prediction error (FPE) is employed to determine the embedding dimension of samples. 该方法应用最终预报误差(FinalPrediction Error,FPE)准则确定样本的嵌入维数。
- Based on the method of minimum prediction error control, a multiple model adaptive controller( MMAC) for discrete time is presented. 基于最小预测误差控制器设计方法,设计离散时间系统多模型自适应控制器,并引入“局部化”方法。
- Example for error estimation of phasor induction log is given. 根据置信区间的指标,文章给出了相量感应测井误差估计的实例。
- Through comparing their sums of squared error,it was concluded that prediction error algorithm-based OE model has the best precision. 通过误差平方和的比较,确定利用基于输出误差(OE)模型的预报误差法所建立的模型的精度最高。
- Based on the difference between the corresponding limit of displacement from both side of contacted bodies, a local direct error estimator of BEM solution for 3D elastic contact problem is presented, and then a scheme of adaptive BEM is suggested. 在此基础上提出将接触体接触单元间与域内解连续的边界位移之差的某种度量作为三维弹性体接触问题边界元法的一种误差直接估计,并且提出了三维弹性体接触问题边界元法的一种自适应计算方案。
- Based on the method of minimum prediction error control, a multiple model adaptive controller (MMAC) for discrete time is presented. 基于最小预测误差控制器设计方法,设计离散时间系统多模型自适应控制器,并引入“局部化”方法。
- Then the NN model is trained and the average prediction error is 26.46%, which reaches the demand of environmental management. 经过网络训练,预测平均误差为26.;46%25,满足环境管理的精度要求。
- The algorithm prediction error is larger under ionospheric stormy conditions, which is more prominent for the stations in the low latitudes. 此次磁暴期间,算法的精度明显降低,对于低纬地区的影响更为显著;
- RPE (recursive prediction error) algorithm with the advantage of fast convergence is applied to training the recurrent neural network. 采用递推预报误差算法训练神经网络,具有收敛速度快、收敛精度高的特点。
- This error estimation model can be applied in all different processes of RP. 该公式适用于RP技术的各种工艺方法,具有普遍意义;
- Probabilistic principal component analysis (PPCA) can realize the process monitoring according to the whiten values of process variables prediction error and their scores. 摘要概率主元分析(PPCA)能够根据过程变量的预测误差及其主元的白化值实现对过程的监控。
- We prove a priori error estimate of this new method.We also give residual-type a posteriori error estimator of it.Numerical experiments are carried out to support our theory. 对此法进行了先验误差分析并给出其残量型后验误差估计,且通过数值实验验证了该方法及其自适应方法的有效性。
- The results show that the algorithm quickly stabilizes, has a very small prediction error, and quickly responds to RTT changes, so it can improve transmission performance. 试验结果证明,所提出的算法相比于原算法,具有能很快达到稳定,稳定后的预测误差小,对RTT变化的响应快等特点,提高了传输性能。
- A case study in Xilin Gole league shows that this method could get a better result with the least prediction error and more abundant spatial information. 以锡林郭勒盟为例进行分析的结果表明,本方法得到的整体及局部的误差估计均小于传统插值方法,并且在空间信息上表现出更为丰富的空间变异信息。
