Time series analysis is an important method of the dynamic data analysis which has extensive researches and usages in many subject fields.
时间序列分析是动态数据分析的重要方法，在多学科领域中得到广泛的研究和运用。
A method of stock price prediction is presented by hypothesis of stock market being non-linear dynamic system and analyzing method of chaos theory for chaos time series in this paper.
根据股票市场是非线性动力系统的假设，利用混沌理论对混沌时间序列的分析方法，提出了股票价格预测方法。
The nonlinear dynamic theory and the chaotic time series analysis method were adopted to examine the nonlinear characteristics of strong earthquake ground motions in this paper.
引入非线性动力学理论和混沌时间序列分析方法考察强震地面运动加速度时程的非线性特征。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
混沌经济时间序列的预测方法研究是混沌经济非线性动力系统的重要内容。
This paper presents a novel method directly dealing with time series of the sensors responses based on an olfactory neural network with many dynamic properties.
文中提出将传感器阵列时间序列信号直接输入到一种具有丰富动力学特性的嗅觉神经网络中进行模式分类的方法。
By using the method of nonlinear time series analysis and taking the Chinese language cognition as an example, the dynamic characteristics of language cognition system are discussed.
利用非线性时间序列分析方法，以汉语语言认知为例，探讨语言认知系统的动力学特性。
Flatness detection signal was looked on as dynamic time series and by the theory of adaptive filtering a general method was developed to remove the harmful noise from the flatness detection signal.
将板形检测信号视为动态时间序列，运用自适应滤波理论，建立了一种通用的板形检测信号除噪方法。
A combined dynamic method of forecast traffic volume time series is proposed.
提出了一种预测交通流量的动态组合建模方法。
A combined dynamic method of forecast traffic volume time series is proposed.
提出了一种预测交通流量的动态组合建模方法。
应用推荐