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混合预测模型
相关语句
  hybrid prediction model
     The Application of Hybrid Prediction Model to Thermal Error Modeling on NC Machine Tools
     数控机床热误差的混合预测模型及应用
短句来源
     NEW INTELLIGENT HYBRID PREDICTION MODEL FOR CONDITION TREND OF ELECTROMECHANICAL EQUIPMENT
     一种新的机电设备状态趋势智能混合预测模型
短句来源
     This article presents the use of the chaos method to reconstruct attractors in phase spaces and a multi layer feed forward neural network to fit the attractor's global map, to construct a hybrid prediction model.
     利用混沌方法重构相空间系统吸引子 ,用前向多层神经网络拟合吸引子上的全局整体映射 ,构成混合预测模型
短句来源
     This article presents the use of chaos method to reconstruct attractors in phase spaces and a multi-layer feed forward neural network to fit the attractor抯 global map, to construct a hybrid prediction model.
     利用混沌方法重构相空间系统吸引子,用前向神经网络拟和吸引子上的全局整体映射,构成了混合预测模型
短句来源
     This article presents the use of the chaos method to reconstruct attractors in phase spaces and a radial basis networks to fit the attractor's global map after the use of wavelet packet analysis to reduce noise,to construct a new hybrid prediction model.
     首先利用小波包进行数据的消噪,然后用混沌方法重构相空间吸引子,用径向基神经网络拟合吸引子上的全局整体映射,构成混合预测模型
短句来源
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  mixed forecasting model
     A new mixed forecasting model PMA-GM for grid resource performance is introduced,which joins MA and GM(1,1) together.
     提出了基于时间序列的混合预测模型,即将改进的移动平均预测模型MA和灰色预测模型GM(1,1)结合起来。
短句来源
     The mixed forecasting model can provide an accurate forecast for grid resource performance and also efficiently support scheduling task for the grid.
     该混合预测模型产生的预测准确率比较高,有效地提高了网格中调度组件的调度效率。
短句来源
  hybrid forecasting model
     Statistic model and chaos theory-based hybrid forecasting model for dam safety monitoring
     基于统计模型与混沌理论的大坝安全监测混合预测模型
短句来源
     Application of Hybrid Forecasting Model PMA-GM in Grid Resource Performance Forecasting
     混合预测模型PMA-GM在网格资源性能预测中的应用
短句来源
  “混合预测模型”译为未确定词的双语例句
     A hybrid model for prediction of concrete crack opening
     混凝土裂缝开度混合预测模型
短句来源
     STUDY ON HYBRID MODEL FOR SYSTEM MARGINAL PRICE FORECASTING IN ELECTRICITY MARKET
     电力市场下系统边际价格混合预测模型的新研究
短句来源
     (2) Owing to the low prediction precision of the conventional statistic model for crack opening displacements, three statistic model and chaos theory - based hybrid prediction models with higher precision are presented.
     (2)传统的裂缝开度统计模型的预测精度较低,提出了三种预测精度更高的统计与混沌混合预测模型
短句来源
     It is much superior to BP network and other approaches and the RBF network approach is selected to improve the elevator traffic flow forecast.
     建立电梯交通流混合预测模型,根据交通流样本数据确定混合模型的参数,包括ARMA模型的参数和RBF神经网络的参数,建立电梯交通流的混合预测模型,并对模型进行学习训练。
短句来源
     This thesis is based on the project "killing oxygen by adding aluminum model automatic controlling system rebuilding of the second steelwork of Wuhan Iron and Steel company", the combined prediction model of observed data sequences in the killing oxygen by adding aluminum process is the basic of this automatic controlling system.
     本课题的研究背景是基于“武钢二炼钢定氧加铝模型自动控制系统改造”项目,对炼钢的定氧加铝工艺中建立观测数据序列的混合预测模型是定氧加铝自动控制系统的基础。
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In terms of an Artificial Neural Netework(ANN),a forecast and diagnostic analysis system of the farmland soil moisture is established.A mixed model and a model involving the extension of time series of the artifivial neural network may be given in the system,respectively,based on soil humidity change and physical factors influencing its change as well.This system may be used to estimate depth of infiltrating water into soil and the change of soil moisture of different soil layers.Application results show that...

In terms of an Artificial Neural Netework(ANN),a forecast and diagnostic analysis system of the farmland soil moisture is established.A mixed model and a model involving the extension of time series of the artifivial neural network may be given in the system,respectively,based on soil humidity change and physical factors influencing its change as well.This system may be used to estimate depth of infiltrating water into soil and the change of soil moisture of different soil layers.Application results show that the system operated in interactive mode with Chinese character menu is convenient and superior on prediction and diagnostic analysis for farmland soil moisture due to ANN marked by quasi dynamical characterstic,adjusting parameter and structure.The sysytem is suitable to relieve the calamity of the agrometerological drought and to manage water resources.

采用人工神经网络(ANN)方法,研制了农田土壤湿度预测、诊断分析系统。该系统根据不同的土壤湿度特点和影响因子,可自动提供时间序列拓展的人工神经网络预测模型和人工神经网络的混合预测模型进行土壤湿度动态预测。并提供不同降水量的土壤湿度变化和水分渗透深度诊断分析。系统采用中文菜单显示的人机对话方式操作,使具有准动力学特性、多种可调参数和网络结构的ANN方法变得简便易于操作。实际使用表明,该系统对土壤湿度的预测、诊断分析效果良好,适用性强。为农田水资源管理和防旱抗旱提供了新的有效广泛和业务服务系统

The reliability of short wave communication can be improved using a hybrid method for predictions based on chaos phase reconstruction and neural networks to predict frequency parameters. This article presents the use of the chaos method to reconstruct attractors in phase spaces and a multi layer feed forward neural network to fit the attractor's global map, to construct a hybrid prediction model. Experimental results show that the hybrid model provides goods predictions and has promising applications. This...

The reliability of short wave communication can be improved using a hybrid method for predictions based on chaos phase reconstruction and neural networks to predict frequency parameters. This article presents the use of the chaos method to reconstruct attractors in phase spaces and a multi layer feed forward neural network to fit the attractor's global map, to construct a hybrid prediction model. Experimental results show that the hybrid model provides goods predictions and has promising applications. This article also shows the efficiency of a noise suppressing method based on single value decomposition (SVD).

为提高短波通信的可靠性 ,提出了一种将混沌和神经网络相结合的方法预测短波通信频率参数。利用混沌方法重构相空间系统吸引子 ,用前向多层神经网络拟合吸引子上的全局整体映射 ,构成混合预测模型。实验结果表明 ,将此混合模型用于预测短波通信频率参数如 F2 层临界频率 ffo F 2 ,能达到较好的预测效果 ,可以应用到实际预测系统中。还将基于奇异值分解的噪声消减滤波算法应用到数据预处理中 ,预测结果表明了这种办法能提高预测精度

A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting. This article presents the use of chaos method to reconstruct attractors in phase spaces and a multi-layer feed forward neural network to fit the attractor抯 global map, to construct a hybrid prediction model. Moreover, this article shows the efficiency of a noise-suppressing method based on single value decomposition (SVD), and a new neural network learning algorithm, chaotic learning...

A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting. This article presents the use of chaos method to reconstruct attractors in phase spaces and a multi-layer feed forward neural network to fit the attractor抯 global map, to construct a hybrid prediction model. Moreover, this article shows the efficiency of a noise-suppressing method based on single value decomposition (SVD), and a new neural network learning algorithm, chaotic learning algorithm, is proposed. The result indicates that the method is effective.

提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。利用混沌方法重构相空间系统吸引子,用前向神经网络拟和吸引子上的全局整体映射,构成了混合预测模型。在实际应用中,将基于奇异值分解的噪声消减滤波算法应用到数据的预处理中,并用混沌学习算法来训练神经网络参数,预测结果表明了该方法的有效性。

 
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