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- A BP neural networks model based on chaotic phase space was used in forecasting the decomposition coefficient, and the predicted result used in calculating monthly runoff downscaling. 其次利用相空间BP神经网络模型对分解系数进行预测，并根据预测结果进行月径流量的降尺度计算。
- neural networks model based on chaotic phase space 相空间神经网络模型
- This new method with chaos phase space reconstruction was proved to be efficient and available to forecast abso... 证明了这种基于混沌相空间重构技术的新方法处理已有的瓦斯等级鉴定结果,预测来年的绝对和相对瓦斯涌出量是可行、可靠的。
- ELECTRICITY MARKET SHORT-TERM MARGINAL PRICE FORECASTING BASED ON PERIOD CLUSTERING RESTRUCTURING CHAOTIC PHASE SPACE 电力市场短期边际电价的分时重构混沌相空间预测
- Railway Passenger Demand Forecasting Based on Integrating Chaotic Phase Space Restructuring and Principle of Similarity 综合混沌相空间重构与相似性原理的铁路客流量预测
- Improving precision of short term load forecasting by second order polynomial regression of chaotic phase space and its parameters' numerical optimization 负荷预测的混沌相空间二阶多项式回归法及其参数优化
- chaotic phase space 混沌相空间
- In this thesis we investigate the chaotic dynamics in the curved space-time in the phase space (?) and using the Poincare section method. 本文将广义相对论与非线性动力学理论结合起来,同时主要运用相空间技术和彭加莱截面方法研究了弯曲时空中的混沌动力学问题。
- Nonlinear adaptive prediction of chaotic signals, which is a new concept that is clearlydifferent from the chaotic prediction theory based on phase space, is proposed. （3）首次研究了超混沌、时空混沌信号的非线性自适应预测问题，它们的非线性自适应预测性能主要取决于预测器的非线性表达能力和自适应算法的选择，与其它因素无关；
- In the case of chaotic time series, using phase space reconstruction and probability raising method can extract the UPO’s embedded in the chaotic time series. 混沌时间序列的情况下，通过相空间重构技术和概率提升法可以计算嵌入于其中的不稳定周期轨道。
- BP neural networks model of forecasting sediment discharge based on chaos phase space 基于混沌相空间技术的输沙量预测BP网络模型
- Short Term Load Forecasting Using Chaos Phase Space Mode Linear Regression Model 应用混沌相空间模线性回归模型研究短期负荷预报
- By calculating the Euclidian dis-tances of the phase point in phase space, both the phase density and the phase variance are defined and compared with correlation dimension which reflects the chaotic features of nonlinear dynamics system. 通过计算相空间状态点间的欧氏距离,定义相对嵌入维数的态密度和态方差,并与反映非线性动力学系统混沌特征的关联维数作比较。
- Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series. 摘要基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。
- Abstract： The network traffic data is chaotic, and in traditional chaotic forecasting algorism, the Euclid distance is used to measure correlation between phase points in phase space. 摘 要： 网络流量数据表现出一定的混沌特性，而在传统的混沌预测算法中，使用欧氏距离衡量相空间中相点间的相关性。
- Calculation of some nonlinear index of EEG based on phase space reconstruction is important for study of brain. 摘要在脑电序列相空间重构的基础上计算非线性测度是研究大脑功能和状态的重要方法。
- A regression model of phase space for predicting smoothed value of M(3000) FZ factor is presented in the paper. 本文给出了传播因子M（3000）F2流动均值的新预报方法－相空间回归模型。
- In hyper dimensional phase space, similar sequence repeatability (RPT) of speech are calculated. 研究语音的相似序列重复度及其熵信息，分析比较了语音信号在相空间中的非线性特徵。
- The method involves principal components analysis, phase space reconstruction and least squares estimate. 方法包括3部分：主分量分析，相空间重构，最小二乘拟合。
