The Attractor Recurrent Neural Network Based on Fuzzy Functions: An Effective Model for the Classification of Lung Abnormalities

The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the characterization of the lung sounds (LS), based on the attractor recurrent neural network (ARNN). The ARNN structure allows the development of an effective LS model. Additionally, it has the capability to reproduce the distinctive features of the lung sounds using its formed attractors.
Source: Computers in Biology and Medicine - Category: Bioinformatics Authors: Source Type: research