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1)  phase reconstruction
相重构
1.
Nonlinear time series noise reduction method based on phase reconstruction and principal manifold learning;
基于相重构和主流形识别的非线性时间序列降噪方法
2)  phase reconstruction
相位重构
1.
Accurate Phase Reconstruction of Measured Signals From Bispectrum;
基于双谱的谐波信号相位重构
2.
The phase characteristic of in-line Fresnel hologram is discussed,and the algorithm about phase reconstruction put forward.
设计了用同轴菲涅尔全息观察、检测细胞的系统,并以新鲜洋葱表皮细胞为样本,完成了实验检测和相位重构,得到了细胞的全息放大再现像,计算了细胞的相位。
3.
For non-uniform fiber grating,a system analysis method based on phase reconstruction is put forward.
将K o lm ogoroff相位重构算法应用于非均匀光纤光栅,提出基于该算法的非均匀光纤光栅相位特性的系统分析方法。
3)  phase reconstruction
位相重构
4)  reconstructing phase space
重构相空间
1.
International and domestic lead-zinc output and consumption are investigated in detail,and the trends of lead-zinc production and consumption are predicted with a method of chaotic theory of reconstructing phase space.
通过对世界与我国铅锌产量和消费量的详细调查,采用混沌理论重构相空间预测方法,对世界与我国铅锌生产和消费趋势进行了预测。
5)  reconstruction phase space
重构相空间
1.
<Abstrcat>Considering the character of reconstruction phase space of chaos time series,the good global searching ability of GA and the effective local searching capacity of BP neural network,the runoff prediction model of BP neural network based on phase space and GA was purposed in this paper,through combining reconstruction phase space,GA with BP neural network.
 基于混沌时间序列的重构相空间、遗传算法的良好全局搜索和神经网络精确的局部搜索特性,以重构相空间中的饱和嵌入维数作为神经网络输入层节点数,通过采用遗传算法优化神经网络初始权重,将重构相空间、遗传算法、神经网络三者有机地结合,提出并建立了相空间遗传BP神经网络预测模型。
6)  phase space reconstruction
重构相空间
1.
This self-similarity keeps in close contact with the attractor of the chaos system based on the theory of phase space reconstruction about chaotic time series and the largest Lyapunov exponents.
本文基于混沌时间序列重构相空间理论,根据最大Lyapunov指数,分别采用W o lf原始算法和改进算法,对高速网络中自相似信源的速率进行了预测,并给出了最大可预报时间。
补充资料:相重
1.互相敬重。
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