1) random tracking time series
随机跟踪时间序列
2) random time series
随机时间序列
1.
First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of dams.
首先 ,叙述用回归分析与随机时间序列技术的组合方法来处理大坝的监测数据。
3) stochastic time series
随机时间序列
1.
A stochastic time series model X_t=φ_tX_(t-1)+ε_t is studed with characteristic function and square when ｛φ_t｝ is a MA(2) series, the necessary and sufficient condition of that ｛X_t｝ have stationary solution.
对于随机时间序列模型Xt=φtXt-1 +εt,由于当 { φt}在不同的情况下 ,具有不同的平稳性质 。
4) sequence-following
序列跟踪
5) 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。
6) random sequence algorithms
随机时间序列算法
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