1) stochastic chaotic time series
随机混沌时间序列
1.
A general stochastic neural network(GFSNN),which membership functions are general Gaussian functions and are adaptable,is proposed to predict chaotic time series,and the model s structure and parameters are optimized by the algorithms of GA-Annealing strategy and are applied to forecast stochastic chaotic time series.
以随机混沌时间序列为例进行仿真预测分析,结果表明广义随机模糊神经网络能够更好地预测原随机混沌时间序列,精度良好,具有抗噪声干扰能力。
2) chaotic random sequence
混沌随机序列
3) chaotic pseudo-random sequence
混沌伪随机序列
1.
The complexity analysis of TD-ERCS discrete chaotic pseudo-random sequences;
TD-ERCS离散混沌伪随机序列的复杂性分析
4) chaotic/stochastic sequences
混沌/随机序列
5) chaotic time series
混沌时间序列
1.
Prediction of chaotic time series using self-organizing fuzzy neural networks with entropy criterion;
基于熵判据自组织模糊神经网络的混沌时间序列预测
2.
Prediction for chaotic time series based on phase reconstruction of multivariate time series;
基于多变量相重构的混沌时间序列预测
3.
Chaotic Time Series Forecasting and Its Applications in Power System s Short-term Load Forecasting;
混沌时间序列的预测及其在电力系统短期负荷预测中的应用
6) chaos time series
混沌时间序列
1.
Trend prediction based on chaos time series for rotating machine sets;
基于混沌时间序列的旋转机械状态趋势预测研究
2.
A new soft-sensing model of current crude copper composition based on the chaos time series of foregone crude copper composition was established by using the phase-space reconstruction theory and the method of maximum Lyapunov exponent and by updating samples in time.
将转炉产粗铜成分的以往化验数据作为二次变量,化验数据严重滞后的当前炉次粗铜成分作为主导变量,并以延迟时间τ=2(炉次)将转炉粗铜成分时间序列分成两个子时间序列,采用重构相空间理论、最大Lyapunov指数方法和样本及时更新的办法,建立了一种仅对当前炉次的炼铜转炉粗铜成分进行软测量的混沌时间序列软测量模型。
3.
Chaos time series which includes very abundant and profound meaning has widely applications.
混沌时间序列有着极为丰富和深刻的内涵,而且应用非常广泛。
补充资料：随机序列
随机序列
random sequence
随机序列[拍目佣1，月1.耽;c卿‘H明noc朋助B眼-剐Oc“1，离散时间随机过程(stoCb溺康pnx尤SSin曲crete ti叮℃)，时间序列(tl叱s~) 定义在所有整数集t=O，士1，士2，…，或正整数集t=1，2，…，上的随机函数.A.M.凡刀。M撰【补注】参考文献见随机过程(s杖尤h姐tic Pro渊)及时间序列(tinrsen。).刘秀芳译陈培德校
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条