Comparison of MLP neural network and neuro-fuzzy system in transcranial Doppler signals recorded from the cerebral vessels
Journal of Medical Systems, cilt.32, sa.2, ss.137-145, 2008 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 32 Sayı: 2
- Basım Tarihi: 2008
- Doi Numarası: 10.1007/s10916-007-9116-6
- Dergi Adı: Journal of Medical Systems
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.137-145
- Anahtar Kelimeler: Fast Fourier Transform (FFT) method, Multi Layer Perceptron (MLP), Neuro-fuzzy classification (NEFCLASS), Transcranial Doppler
- Gazi Üniversitesi Adresli: Evet
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. © 2007 Springer Science+Business Media, LLC.