Results The SDNN and the frequency of P. V. C. existed obvious correlatively.
结果SDNN值和室早发生频次存在明显的昼夜节奏变化和相关性。
There were significant day-night cycles and correlation in SDNN and the number of VPBs.
SDNN与冠心病室性早博频次存在明显的昼夜节奏变化和相关性。
Considering the complexity and the time variability of industrial process, an adaptive Supervised Distributed Neural Networks (SDNN) is proposed for modeling of industrial process.
针对工业生产过程的复杂性和时变性，提出一种用于工业生产过程建模的自适应监督式分布神经网络(SDNN)。
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