可观察量
- 网络Observable;observables
可观察量-
为模拟神经元网络的混沌现象，阐述了相空间重构技术，介绍了由一维可观察量计算系统的最大Lyapunov指数和关联维数的方法。
In order to simulate the chaos phenomenon of the neural network , the phase space reconstruction technique is expounded , and the method of determining the largest Lyapunov exponent and the correlation dimension of the system from a time series is introduced .
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该技术不但能将这类样品高度浓缩在一个微小的空间内，而且可简化样品制备步骤，减少样品损失，提高可观察样品的信息量。
This method can concentrate dispersal specimen in a tiny space to obtain more information , not only simplified the procedure of specimen preparation , but also reduced specimen loss .