Comparison of MLP neural network and neuro-fuzzy system in transcranial doppler signals recorded from the cerebral vessels
Yükleniyor...
Tarih
2008
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Multi Layer Perceptron (MLP), neuro-fuzzy classification (NEFCLASS), transcranial Doppler, fast Fourier transform (FFT) method
Kaynak
Journal Of Medical Systems
WoS Q Değeri
Q4
Scopus Q Değeri
Q1
Cilt
32
Sayı
2
Künye
closedAccess
