据此，建立了岩体工程位移观测数据的混沌预测方法。
Thus, the chaotic analytic method is set up for the prediction of the measured displacement time series of rock mass engineering.
应用混沌预测方法，对气液两相单孔鼓泡系统的压力波动时间序列进行了短期预测。
A short-term prediction method developed on the basis of the deterministic chaos theory is used to predict the time series of pressure fluctuations in a gas-liquid bubble column with a single orifice.
根据单变量时间序列的混沌预测方法，只要嵌入维数和延迟时间选择得合理，便能进行精确的预测。
Based on the prediction method of univariate time series, and according to the proper selection of dimension and delay time, the time series can be predicted precisely.
上世纪90年代，许多经济学家开始将混沌理论视为一种提供预测模型的方法。
In the 1990s, many economists began to look at chaos theory as a way of providing models for forecasting.
基于对混沌信号分析方法的研究，利用混沌序列固有的确定性，我们提出了一种预测干扰的方法。
Based on the analysis and the deterministic characterization of chaotic signals, we propose a interference method by constructing a nonlinear predictive model.
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。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
给出了基于径向基函数网络的混沌时间序列预测的方法。
A method based on radial basis function networks for forecasting chaotic time series is proposed.
提出了一种将混沌的相空间重构、小波包分析和神经网络相结合的新方法用于预测气-固循环流化床的颗粒浓度。
A new hybrid method for prediction of solids holdup in gas-solid circulating fluidized bed is proposed based on chaos phase reconstruction and wavelet package as well as neural networks.
提出一种基于混沌预测的OGY方法。
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.
这种建立在非线性混沌改进模型基础上的预测方法不仅对小数据组可靠，而且计算量小、相对容易操作。
The forecasting method based on non linear chaotic model is not only reliable to small data sets, but also of little account amount and easy to handle.
最后，结合嵌入理论和预测误差，提出了基于嵌入技术和确定集上预测误差的混沌时序预测方法。
Finally, connecting embedding theory with prediction errors, we propose a new prediction method to chaotic time series based on embedding technique and prediction errors on tested sets.
针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。
Optimal choice method of the nearest neighboring points and adding weight one-rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series.
在深入研究混沌时间序列局域预测方法的基础上，提出了一种加权局域基函数预测方法。
The prediction method of weight local basis function is presented based on the deep research on local prediction for chaotic time series.
基于小波包变换和混沌理论提出了一种股票市场建模及其预测的新方法，既能刻划时间序列的规律，又能捕捉混沌状态的特征。
A new method is proposed to predict the stock market based on wavelet packet transformation and chaos theory, which can not only describe a time series but also capture the features of the chaos.
根据电网负荷混沌性的特点，提出一种基于模糊支持向量的核回归方法进行电力系统的负荷预测。
According to the chaotic characteristic of power load, fuzzy support vector based kernel regression method is proposed for load forecasting.
针对高海况下对海浪水压场实施预测滤波效果较差这一问题，文中基于混沌模型提出了一种新的预测滤波方法。
Taking aim at the bad prediction filtering effect on wave hydrodynamic pressure field under high oceanic condition, a novel prediction filtering method was proposed based on chaotic model.
本发明公开了属于热工过程控制领域的基于混沌混合优化算法的单元机组非线性预测控制方法。
The invention discloses a nonlinear predictive control method of a unit plant based on a chaos and hybrid optimization algorithm, belonging to the control field of thermal process.
基于自组织临界性的理论框架，针对处于周期区与混沌区之间状态的灾害系统，研究其可预测性及预测方法。
Some disaster systems are in a state between cycle region and chaos region. Their predictability and prediction technique are researched based on self-organized critical theory.
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.
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.
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。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
基于混沌系统局部特征，提出了一种局部动力相似的混沌时间序列的预测方法。
A method of chaotic time series prediction problem based on local dynamical similarity is proposed.
根据混沌学理论，研究了冲击地压启动的混沌特性，提出了在一定的时间尺度内预测预报冲击地压发生的方法。
According to the chaos theory, chaos characteristic of rockburst is researched, which gives up that the feature can be used to exactly forecast the happiness of rockburst.
提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。
A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
预测反馈控制方法可以用于控制时空混沌系统，该方法是在耦合映象格子中的每个格点处加入局部预测反馈控制器。
The method of predict-feedback control(PFC) is used to control spatiotemporal chaos. The PFC scheme uses a local predict-feedback controller at each site.
提出了一种基于混沌相空间重构理论的优化近邻点局部线性化跳频预测方法。
Based on the theory of chaos phase space reconstruction, a local linear forecasting approach on selecting the optimal neighbor points is presented in this paper.
这种用改进了的自组织方法所构成的GMDH型神经网络可以应用于混沌时间序列预测。
An improved GMDH-type neural network and its application to predicting chaotic time series are proposed.
在混沌相空间重构局域法的基础上提出了几种新的预测方法，并将气象因子引入到了混沌预测中。
Then new load forecasting methods are developed based on the chaotic phase space reconstruction, in which climate factors are considered.
在混沌相空间重构局域法的基础上提出了几种新的预测方法，并将气象因子引入到了混沌预测中。
Then new load forecasting methods are developed based on the chaotic phase space reconstruction, in which climate factors are considered.
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