A Probabilistic Process Neural Network and Its Application in ECG Classification

A Probabilistic Process Neural Network and Its Application in ECG Classification

A novel probabilistic process neural network (PPNN) model is proposed for the multi-channel time-varying signal classification problems with ambiguity and randomness distribution characteristics. This model was constructed from an input time-varying signal layer, a probabilistic process neuron (PPN)...

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Bibliographic Details
Main Authors: Naidan Feng, Shaohua Xu, Yongquan Liang, Kun Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Dynamic signal classification
Bayesian decision rules
probabilistic process neural network
training algorithm
ECG signal classification
Online Access:https://ieeexplore.ieee.org/document/8693627/

Internet

https://ieeexplore.ieee.org/document/8693627/

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