这一结论为混沌时间序列分析方法应用于测井曲线识别领域提供了前提条件。
The obtained conclusion provides a premise for the application of chaotic time series analysis in well-log facies recognition.
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 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.
本文对混沌时间序列分析中的相空间重构技术进行了分析和评价，总结了国内外学者的研究进展，并展望了未来的研究方向。
The technology of state space reconstruction used in chaotic time series analysis is remarked in this paper, and progress of the research is summarized, also the research of future is prospected.
而混沌时间序列分析为动力学系统的非线性信号分析、检测及诊断提供了一条全新的途径，着眼于从混沌动力学系统的本质去解决问题。
Chaotic time series analysis provides a new approach to analyzing, examining and diagnosing dynamics system, and resolves problem according to the essence of chaos dynamics signals.
识别混沌是对非线性时间序列进行分析、预测、控制的基础。
How to identify chaos is the foundation of analysis, prediction and control of nonlinear time series.
本文将混沌方法引入具有非线性时间序列的降雨量分析。
In this paper, the chaos theory is introduced to analyze nonlinear time series of rainfall.
采用非线性混沌时间序列预报，不同于传统的时间序列分析方法。
It differs from traditional time-sequence analysis methods in which nonlinear chaotic time-sequence prediction is used.
利用混沌序列的遍历性及其良好的相关特性，提出了一种二维置换网络，并对置换网络的时间复杂度和其置换性质做了分析。
Put forward a planner permutation network by using the ergodic and good relativity of Chebyshev-map chaos sequence, and the time complexity and analyzed permutation character of permutation network.
利用混沌时间序列的分析方法，对铅中毒情况下的大鼠的脑电波进行了测试和分析，求出了其分形维数。
The EEG in lead - administrated rats is measured and analyzed using the method of chaotic time series analysis in this paper. The fractal dimension of EEG is determined.
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。
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.
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。
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.
本文最后以一个人工混沌时间序列为例，对该预测技术的应用效果及其影响因素给予评价和分析。
Finally, the forecasting results are evaluated, and the effect factors of the results are analysed by using of a chaotic time series created by logistic map as an example.
时间序列的非线性检测对于非线性时间序列分析、混沌特性研究有着重要意义。
Test of nonlinearity of time series is very important for nonlinear time series analysis and study of chaotic dynamics.
通过对颗粒碰撞压力时间序列的功率谱分析和混沌分析，研究了其频域特性和混沌特征。
To understand the frequency and chaotic characteristics of the particle colliding force, the time series of particle colliding force are analyzed by power spectrum analysis and chaotic theory.
基于饱和关联维数法，对四川省全省电力系统日负荷序列的混沌特征进行定量分析，得出日负荷时间序列具有混沌性的结论。
This paper discusses chaotic characteristic of the power daily load of Sichuan Province based on saturation correlation dimension, and concludes that daily load time series belong to chaotic series.
引入稀疏混沌时间短序列概念，提出了稀疏符号时间序列分析方法与实现流程。
The concept of sparse symbolic time series analysis was brought in and the method and procedure for implementation of the analysis was proposed.
结果表明，当观测数据为非等时序列，采用灰色混沌时间序列进行分析比较有效；
The results show that when to data to be observed is unequal interval, it is more effective for the grey-chaos time series to analyse the data.
在水文预测中，应用混沌分析方法需解决相空间重构、时间序列的混沌性识别和混沌时间序列预测等关键技术。
In hydrological prediction, it is necessary that t he reconstruction of chaotics Tate space and the diagnosis of chaotic behavior as well as the chaotic pre diction are solved.
利用非线性动力学的宏观研究方法对清江库岸茅坪滑坡的位移时间序列进行了分析，发现滑坡系统在演变过程中存在混沌。
The time series of displacement monitoring data obtained in Maoping landslide of Qingjiang are analyzed by using macroscopic study of nonlinear dynamics method.
分析了基于记忆库混沌时间序列预测方法，引入一种改进核函数的支持向量机分类器。
Secondly the prediction technology of chaotic time series is studied based on memory-based predictor.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数，可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
依靠非线性时间序列分析方法提取重构动力系统的非线性或混沌特征参数，可以达到识别的目的。
The targets recognition can be reached by extracting the features of the reconstructed dynamics using nonlinear methods.
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