非平稳时间序列的英文

• nonstationary time series

• "非"英文翻译    mistake; wrong; errors
• "平稳"英文翻译    steady; smooth and steady; s ...
• "时间序列"英文翻译    time series
• "非齐次非平稳时间序列" 英文翻译 :    nonhomogeneous nonstationary time series
• "齐次非平稳时间序列" 英文翻译 :    homogeneous nonstationary time series
• "平稳时间序列" 英文翻译 :    stationary time series
• "不稳时间序列" 英文翻译 :    unstable time series
• "时间序列" 英文翻译 :    [统计学] time series; 时间序列分析 [数学] time series analysis 时间序列预测 time series forecasting
• "时间序列表" 英文翻译 :    time series table
• "时间序列法" 英文翻译 :    time series method
• "时间序列论" 英文翻译 :    theory of time series
• "时间序列图" 英文翻译 :    time series charts; time series plot
• "创建时间序列" 英文翻译 :    create time series
• "创造时间序列" 英文翻译 :    create time series
• "地震时间序列" 英文翻译 :    earthquake time series
• "多重时间序列" 英文翻译 :    multiple time-series
• "固定时间序列" 英文翻译 :    stationary time series
• "离散时间序列" 英文翻译 :    discrete time series
• "连续时间序列" 英文翻译 :    continuous time series
• "时间序列的峰" 英文翻译 :    peak in time series
• "时间序列分解" 英文翻译 :    decomposition of time series; time series decomposition
• "时间序列分析" 英文翻译 :    analysis of time series; time sequential analysis; time series analysis
• "时间序列回归" 英文翻译 :    time series regression
• "时间序列流向" 英文翻译 :    time sequence flows
• "时间序列模型" 英文翻译 :    time sequence model; time series model

• Prediction modelling method for non - linear and non - stationary time series
  一种非线性非平稳时间序列预测建模方法
• The model of non - stable time series raised by box - jenkins is applied to give a mathematical prediction of the deformation tendency
  采用box - jenkins非平稳时间序列模型，对码头的变形趋势进行了中、短期时间预测。
• Emd method is local adaptive . lt not only can be used to analyse linear data , but also can be used to analyse nonlinear and non - stationary data
  Emd方法是一种局部自适应方法，不仅适用于线性时间序列的分析，而且适用于非线性和非平稳时间序列的分析。
• Cointegration method is a new algorithm developed in economics area for modelling non - stationary economical and financial processes . it can generate a stationary process based on a linear combination of a set of non - stationary processes if these non - stationary processes have long - term balanced relation
  协整理论是处理非平稳时间序列的有力工具,可通过线性组合,将具有长期均衡关系的多个非平稳时间序列生成一个平稳序列。
• ( 6 ) it studies the time serial neural network forecast model and discusses how to determine the dimension of input data and how to smooth the unsteady time serial data . also this paper uses the time serial neural network model to forecast the volume of freight of shenzhen airport air logistics park . finally , this paper attains higher accuracy in using the forecasting model and gets a good forecast effect
  ( 6 )对基于时间序列的神经网络预测模型进行了研究，并研究了输入维数的确定及非平稳时间序列如何平稳化的问题，并利用时间序列神经网络预武汉理工大学博士学位论文测模型进行深圳航空物流园区的货流量的预测，从而提高了预测模型的精度。
• As far as the nonstationarity during the long period operation of machinery was concerned , the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied . the relationship between adaline and auto regressive ( ar ) model was analyzed , and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented . the effect of the adaptive learning rate on prediction was also analyzed
  针对生产实践中设备运行的非平稳性，基于动态预测思想，研究了非平稳时间序列的自适应线性单元( adaline )神经网络预测，讨论了adaline和自回归( ar )模型之间的关系，提出根据ar模型定阶方法确定adaline预测模型的输入神经元数目，分析了自适应学习率对预测性能的影响，为机械设备状态预测提供了一种方法。