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Method and apparatus for classifying a time series of at least one second and the time series of the first
Method and apparatus for classifying a time series of at least one second and the time series of the first
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机译:用于对至少一个秒的时间序列和第一时间序列的时间序列进行分类的方法和设备
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摘要
So as to examine the statistical dependence of their series (57) [Abstract] At conditional probability of the sequence is modeled when one by one neural network, respectively, to train a neural network. To determine the time-series proxy by using the neural network, to obtain the measure of the statistical dependence of the sample values of the time series representative sample value of each series. Comparing with each other a measure of these dynamic series examined whether represented by the Markov process (n N, n 1, ...) when the order of individual underlying.
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机译:从而检验其序列的统计依赖性(57)[摘要]在条件条件下分别对序列进行建模时,分别对一个神经网络进行训练。通过使用神经网络来确定时间序列代理,以获得每个序列的时间序列代表样本值的样本值的统计依赖性的度量。通过比较这些动态序列的度量,检验了单个基础的顺序时是否用马尔可夫过程(n N, Sub> n 1, Sub> ...)表示。
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