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混合预测方法
相关语句
  mixed-forecast method
     Mixed-Forecast Method of City Traffic Flow
     城市交通流混合预测方法的研究
短句来源
  hybrid forecast approach
     The effect of the hybrid forecast approach and those of the single ARMA forecast and RBF network forecast are compared. Calculating their forecast error respectively, we can compare their precision and performance.
     分析两种预测方法相结合的混合预测方法的预测效果,与ARMA预测和其他方法的预测效果进行比较,分别计算它们的预测误差值,比较混合预测法与其他方法预测的精度和优劣。
短句来源
     The hybrid forecast approach of combining the ARMA mathematical model forecast approach and Radial Basis Function neural network approach is proposed.
     提出了将ARMA(自回归滑动平均模型)数学模型预测法与基于径向基函数的神经网络相结合的混合预测方法
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  “混合预测方法”译为未确定词的双语例句
     Hybrid Predictive Method for Multi-criteria Inventory Classification
     一种多准则库存分类的混合预测方法
短句来源
     The method is a mixed prediction method that is composed of the ARMA model prediction and the RBF neural network prediction.
     在此基础上,提出了一种将ARMA模型预测与RBF神经网络预测相结合的混合预测方法.
短句来源
     This thesis studies the prediction method of one street corner short time transportation flow and puts forward a mixed prediction method based on AR model and wavelet neural network.
     本论文主要研究单一路口短时交通流的预测方法,提出了基于小波分解的AR模型和小波神经网络相结合的混合预测方法
短句来源
     Research on the Mixed Forecasting Methods of Chaotic Time Series
     混沌时间序列混合预测方法探索
短句来源
     Hybrid Forecasting Method for Automobile Sale
     汽车销售混合预测方法研究
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  相似匹配句对
     A Hybrid Model for Forecasting Analysis
     预测分析的混合模型法
短句来源
     Mixed-Model Prediction of Financial Distress
     企业财务困境混合模型预测
短句来源
     Study of the Mixed Predictive Control Method to the Elevator Energy Consumption
     电梯能耗的混合预测控制方法
短句来源
     Hybrid Forecasting Method for Automobile Sale
     汽车销售混合预测方法研究
短句来源
     The Hybrid Method for the Indoor Radio Wave Propagation Prediction
     预测室内电波传播的混合方法
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The prediction of the agent action in Multi-Agent System(MAS)has been a challenging problem since the begining of MAS.Robotic soccer is a MAS environment in which the prediction of the agent action plays an important role.The paper summarizes several representative action prediction approaches of agent and cooperation models in RoboCup,A Multi-agent cooperation model based on one of hybrid agent action prediction approachs is proposed.This cooperation model has been applied in CSU_YunLu2003,and proved very effective...

The prediction of the agent action in Multi-Agent System(MAS)has been a challenging problem since the begining of MAS.Robotic soccer is a MAS environment in which the prediction of the agent action plays an important role.The paper summarizes several representative action prediction approaches of agent and cooperation models in RoboCup,A Multi-agent cooperation model based on one of hybrid agent action prediction approachs is proposed.This cooperation model has been applied in CSU_YunLu2003,and proved very effective in RoboCup simulate competition.

智能体的行为预测是多智能体系统中的一个具有挑战性的问题。机器人足球是一个典型的多智能体系统,论文对多智能体系统中的行为预测进行了研究,概述了RoboCup中几种典型的智能体行为预测方法和协作模型,在此基础上采用基于行为的混合预测方法,建立了一种基于行为预测的多智能体协作模型。该协作模型已应用于CSU_YunLu2003仿真球队中,在RoboCup仿真比赛中证明了该协作模型的有效性。

Motion compensation and prediction using deformable block matching algorithm (DBMA) is discussed.This paper proposes a nodal search-based DBMA (NS-DBMA) for the estimation of nodal displacement.The sub-pixel accuracy prediction and two-mode hybrid method are further proposed.Experimental results show that the NS-DBMA have about 2dB better than exhaustive block matching algorithm (EBMA).NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective...

Motion compensation and prediction using deformable block matching algorithm (DBMA) is discussed.This paper proposes a nodal search-based DBMA (NS-DBMA) for the estimation of nodal displacement.The sub-pixel accuracy prediction and two-mode hybrid method are further proposed.Experimental results show that the NS-DBMA have about 2dB better than exhaustive block matching algorithm (EBMA).NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective quality,and is much easier to implement by VLSI.

本文讨论可变形块匹配(DBMA)的运动补偿和预测方法,提出基于节点搜索的可变形块匹配算法(NS-DBMA),并在此基础上提出分数像素精度预测和双模式混合预测方法.实验结果表明,NS-DBMA比全搜索方块匹配法(EBMA)平均改善约2dB;其运算量仅为基于梯度的可变形块匹配算法(GB-DBMA)的一半,但能得到更好的主客观预测质量,且更易于VLSI硬件实现.

The C-ANN(chaotic artificial neural networks) forecasting model is set up based on Kolmogorov continuity theoremin the paper.The C-ANN-GA(chaotic artificial neural networks genetic algorithms) methods are put forwardto solve the forecasting problem of chaotic time series non-analytic arithmetic formula,so that the forecasting methods of chaotic time series are new developed.

根据Kolmogorov连续性定理,本文建立了混沌—神经网络(C-ANN)预测模型;提出了基于遗传算法和神经网络的混沌预测模型与方法(C-ANN-GA混合预测方法);解决了混沌时间序列的非解析式预测问题;使混沌时间序列预测方法得到了新的改进和发展。

 
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