In order to solve serious urban transport problems, according to the proved chaotic characteristic of traffic flow, a non linear chaotic model to analyze the time series of traffic flow is proposed.
为了解决日益严重的城市交通问题，本文根据交通流已被证明的混沌特性，尝试采用非线性混沌模型来分析交通流时间序列。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
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。
Short term predictions of chaotic series are realised with neural network model, after diagnosing the time series as chaotic statistic series.
对于一个经诊断为混沌的统计量序列，应用神经网络建立模型，短期预测混沌序列。
A new model of nonlinear denoise is proposed and applied in the detection of chaotic time series signals.
建立了非线性降噪模型，并且应用此模型进行混沌时间序列信号检测。
Using the ability of short-term predicting for chaotic time series, the paper constructed a gas concentration prediction model for certain coal mines.
利用混沌时间序列短期可以预测的特点，对选取的某两处煤矿构建了瓦斯浓度预测模型。
According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic time series.
根据滑坡位移时间序列的非线性性质，应用混纯时间序列预测方法，建立滑坡预测的非线性混纯模型。
According to the nonlinear characteristics of landslide displacement time series, the nonlinear chaotic model is presented applying the forecasting method of chaotic time series.
根据滑坡位移时间序列的非线性性质，应用混纯时间序列预测方法，建立滑坡预测的非线性混纯模型。
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