… This paper introduces a variety of artificial intelligence classification methods of sleep apnea,
including classification based on statistical rules and classification based on deep learning, …

… that the singular value decomposition entropy of AHA1 in the … Compared with HC, the LZ
complexity, Shannon entropy, … decomposition entropy cannot be restored to normal through …

… based on BP neural network (back propagation network) and … , and the Lorentz value,
Shannon entropy, KS test value and … of SVM and BP neural network for classification and testing, …

… set used in the traditional fuzzy neural network. Based on parallel operation with the particle
… In addition, a feature selection method based on Shannon entropy is presented to select …

… the maximum energy and Shannon entropy ratio, in order … Shannon entropy be regarded
as two new features added to the feature vector. Finally, MLP neural network is used to classify …

… 由此,本文提出了一种基于IE-BPNN(information entropy-BP neural network)的隐私度量与分级
模型, 其基本框架分为隐私数据规则化,隐私要素度量与 定权以及隐私分级3 大模块.其基本思路…

… )取代模糊類神經網路(Fuzzy neural network)中的模糊集合,在… 選擇上基於夏農資訊熵(Shannon
Entropy)提出了特徵選取方法,在… selection method based on Shannon entropy is presented to …

… fuzzy neural … based on the theory of Shannon entropy. The main purpose is to select features
by calculating the amount of information provided by the features for the target, and using a …

… of network intrusion detection, machine learning classifiers such as SVM, neural network
and … In previous investigations, Shannon entropy has been shown as an effective measure to …

… (Deep Neural Network , DNN)网络的8 个输入端,对DNN … through AdamDNN. The experimental
results show that compared with the traditional machine learning and Shannon entropy …