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- chaotic time serial 混沌时间序列
- Chaotic Behavior Decision of Complex System and Fractal Based Chaotic Time Serials Modeling 复杂系统混沌行为判别与混沌时间序列的分形建模
- Simulations show these two methods are effective for chaotic time series prediction,including ... 仿真表明,两种模型均能有效预报舰船摇荡极短期运动。
- Application of wavelet transform to monthly runoff time serial analysis in Zagunao watershed,the upper Minjiang River. 小波变换在岷江上游杂古脑流域径流时间序列分析中的应用
- On the basis of chaotic time series,this paper uses the BP neural network method to forecast the power load,and analyzes the model characteristic. 在混沌时间序列的基础上,应用BP神经网络对电力负荷进行了预测,并对模型特性进行了分析。
- This paper presents a new model to predict the annual maximum ice-thickness by means of combining Levenberg-Marquardt neural network (NN) with time serial method. 本文将L-M神经网络与时序分析方法相结合提出一种新的模型，用于年极值冰厚预测。
- As a new type of recurrent neural network,echo state network(ESN) is applied to nonlinear system identification and chaotic time series prediction. ESN(回声状态网络)是一种新型的递归神经网络;可有效处理非线性系统辨识以及混沌时间序列预测问题.
- Simulations show that RBF networks models have good fitness and high accuracy of single and multistep prediction to the chaotic time series. 仿真结果表明,RBF网络模型对混沌时间序列有比较强的拟合能力和比较高的一步及多步预测精度。
- Analyzing the aggregate time serial data from China and other 23 developing countries shows that GDP and foreign direct investments are interactional. 从中国和其他23个发展中国家总量时间序列资料的分析中可以看出,国内生产总值与外国直接投资之间存在着相互影响、相互促进的互动关系。
- Date formats display date and time serial numbers as date values. Except for items that have an asterisk (*), applied formats do not switch date orders with the operating system. 日期格式把日期和时间系列数显示为日期值。除了带星号(*)的项目，应用的格式不会按照操作系统来改变日期顺序。
- Guo S B,Xiao X C.Determining rank of Volterra adaptive filter of chaotic time series [J].Journal of Electronics and Information Technology,2002,24(10):1334-1340. [13]郭双冰;肖先赐.;混沌时间序列的Volterra自适应预测滤波器定阶[J]
- Zhang J S,Xiao X C.A reduced parameter second-order volterra filter with application to nonlinear adaptive prediction of chaotic time series [J].Acta Phys Sin,2001,50(7):1249. [4]张家树;肖先赐.;用于混沌时间序列自适应预测的一种少参数二阶Volterra滤波器[J]
- Multiple linear stepwise regression estimation and exponential smoothing estimation of time serial are used to obtain the estimating models of the 12 omening indices. 用多元线性回归预测和时间序列指数平滑方法预测，建立了12项单指标的预测模型。
- 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。
- Time formats display date and time serial numbers as time values. Except for items that have an asterisk (*), applied formats do not switch date or time orders with the operating system. 时间格式把日期和时间序列数显示为时间值。除了带星号(*)的项目，应用的格式不会按照操作系统来改变日期或时间顺序。
- The new method treats the problem of parameter estimation and noise reduction for chaotic time series as a nonlinear minimization process and solves it using steepest descent algorithm. 这种新方法把对混沌时间序列的参数估计和噪声抑制看作是一种最小化过程，并利用了最速梯度下降方法解决。
- Selecting five indexesto stand for the bridge transportation and economy, we construct the economic model by means of the up-to-date Time Serial Analysis. Firstly, to test the stabilization of these indexes with prevalent methods of unit root. 选择代表陆桥运输和沿桥经济的五个指标，运用最新的时间序列分析方法，利用经济数据构造和建立经济计量模型。
- In addition,GPM integrates the results from Nonlinear Time Series Analysis (NTSA) to adjust the parameters and as the criterion of founded models. The simulation shows the effectiveness of such improvements on modeling chaotic time series. 此外;演化建模的实现结合了非线性时间序列分析(NTSA)的结果;以NTSA的结果指导演化建模参数的选取并作为模型优劣的评判标准;改进了经典GP算法对混沌系统建模的应用效果.
- In this paper we review the function of PC software, the function and hardware design of time serial control system, AOM driver, microwave synthesizer and interface for NIM 4# clock. 本文简要叙述了用于NIM 4 %23钟电子测控系统的PC软件的功能及时序控制系统、声光调制器驱动源、微波综合器和微波接口箱的功能和硬件设计。
- Based on the analysis of polynomial nonlinear adaptive prediction methods existed already, a DCT domain quadratic predictor for real-time prediction of low-dimension chaotic time series is proposed. 在分析现有多项式非线性自适应预测法的基础上，提出了混沌时间序列预测的DCT域二次实时自适应滤波预测法；
