We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
基于变分贝叶斯及相空间重构理论，提出了含噪混沌时间序列相空间域线性回归预测模型。
The Upper Permian System Longtan coal measure in the Changguang coal deposit is a complete sedimentary cycle, consisting of a regressive and a transgressive series.
长广煤田上二迭统龙潭含煤岩系是由海退系列和海进系列组成的一个完整沉积旋回。
An algorithm of feature extraction and damage alarming based on auto-regressive moving-average (ARMA) time series analysis is presented.
本文基于时间序列分析ARMA模型探讨了结构损伤特征提取和损伤预警的实现方法。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
The reconstruction of vehicle random vibration signal under different vehicle speed and road conditions is realized in laboratory, based on an auto regressive moving average (ARMA) time series model.
基于自回归滑动平均模型(ARMA)的方法，实现了不同车速和路面条件下的随机振动信号的实验室再现。
In this paper, Auto Regressive model of metal content for specially monitored metals in lubricating oil monitoring system of aeroengine is built by the method of Time Series Analysis.
利用神经网络方法对某型航空发动机滑油监控系统中需重点监控的金属元素含量建立了网络，并根据该模型对其含量变化趋势进行了预测分析。
In this paper, Auto Regressive model of metal content for specially monitored metals in lubricating oil monitoring system of aeroengine is built by the method of Time Series Analysis.
利用神经网络方法对某型航空发动机滑油监控系统中需重点监控的金属元素含量建立了网络，并根据该模型对其含量变化趋势进行了预测分析。
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