Comparison of MLP neural network and neuro-fuzzy system in transcranial doppler signals recorded from the cerebral vessels
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Date
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Transcranial Doppler signals recorded from cerebral vessels of 110 patients were transferred to a personal computer by using a 16 bit sound card. Spectral analyses of Transcranial Doppler signals were performed for determining the Multi Layer Perceptron (MLP) neural network and neuro Ankara-fuzzy system inputs. In order to do a good interpretation and rapid diagnosis, FFT parameters of Transcranial Doppler signals classified using MLP neural network and neuro-fuzzy system. Our findings demonstrated that 92% correct classification rate was obtained from MLP neural network, and 86% correct classification rate was obtained from neuro-fuzzy system.
Description
Keywords
Multi Layer Perceptron (MLP), neuro-fuzzy classification (NEFCLASS), transcranial Doppler, fast Fourier transform (FFT) method
Journal or Series
Journal Of Medical Systems
WoS Q Value
Q4
Scopus Q Value
Q1
Volume
32
Issue
2
Citation
closedAccess
