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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。
- Meanwhile, GM (1,1) is of higher precision and less prediction errors than Metabolizing Model's. 而在此实例中,GM(1,1)模型比新陈代谢的预测精度更高、预测误差更小。
- The result shows that a second order ARMA model gives the best fit to the data in terms of sum of squares of prediction errors and in terms of the whiteness of the residual. 两种算法都进行了仿真,结果表明:从预测偏差的平方和及残数的空白度来看,二阶的ARMA模型会产生最佳的数据适应度。
- By optimizing the model parameters, the obtained RVM model had high fitting abilities, less prediction errors and less standard deviation of prediction errors. 通过优化建模参数,所建相关向量机模型具有较高的拟合能力,且预测误差小,稳健性好。
- By optimizing the model parameters,the obtained RVM model had high fitting abilities,less prediction errors and less standard deviation of prediction errors. 通过优化建模参数,所建相关向量机模型具有较高的拟合能力,且预测误差小,稳健性好。
- A new scheme for adaptive DPCM picture coding is proposed by modifying the scheme previously reported in [1], using the criterion of minimum entropy value of prediction errors. 本文按照预测误差熵值最小的准则,修改了文献[1]的方案,得出一个新的自适应DPCM图象编码方案。
- For the EC_1, EC_(50) and equimolar ratio, prediction errors from the INFCIM at the 50% combination effects in all the validation sets were 0.3%, 6% and 0.6%, respectively. 对于EC_1、EC_(50)和等摩尔浓度值混合物而言,INFCIM模型在50%25实验观测的效应下所产生的预测误差分别为0.;3%25、6%25和0
- 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。
- 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。
- 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 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。
- 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。
- 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。