19世纪90年代，出现说大脑会产生随机的噪音，然后又不能用确定性混沌理论描述。
In the 1990s, it emerged that the brain generates random noise, and hence cannot be described by deterministic chaos.
世界是非线性的，线性只是其近似描述，混沌的发现表明：某些确定性非线性系统具有内在的随机行为。
The world is nonlinear, linearity is oly its approximate description. The discovery of chaos has showed that some deterministic nonlinear systems exhibit inner random behavior.
基于对混沌信号分析方法的研究，利用混沌序列固有的确定性，我们提出了一种预测干扰的方法。
Based on the analysis and the deterministic characterization of chaotic signals, we propose a interference method by constructing a nonlinear predictive model.
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