近似熵（approximate entropy）是从统计学的角度反映一维的随机时间序列，适用于段数据的复杂性分析，而且可用于分析由随机信号和确定信号混合的数据。
基于158个网页-相关网页
基于非线性方法的石油钻井轴承故障诊断_论文_中国测控网 关键词：故障诊断，近似熵，样本熵，神经网络 [gap=425]Keywords: fault diagnosis, approximation entropy, sample entropy, neural network
基于8个网页-相关网页
Approximate entropy (ApEn) was introduced to investigate the complexity and regularity in time-series data of different patterns of spontaneous neuron firing.
引入近似熵(ApEn)统计方法衡量神经元不同自发活动模式时间序列的复杂度和规律性。
参考来源 - 培养神经元网络自发电信号的特性分析This thesis presents a new approach to characterize the acoustic emission signals of the structure cracking in the process of loading based on the Approximate Entropy (ApEn), which is a statistical measure that quantifies the regularity of a time series.
本文提出了一种新的结构裂纹声发射信号特征提取方法——近似熵法,近似熵是一种最近新发展起来的度量序列复杂性的统计方法。
参考来源 - 导管架平台结构模型裂纹扩展声发射特征提取·2,447,543篇论文数据，部分数据来源于NoteExpress
记录围术期近似熵脑电非线性地形图。
The perioperative EEG non-linear topographic map of approximate entropy was recorded.
计算近似熵与相关维的变化。
The variations of the ApEn and the correlation dimension were calculated.
把近似熵用于密码技术中，设计一种实用的随机数检验方法。
Approximate entropy be applied to cryptographic technology, designing a testing method of a random sequence.
应用推荐