Comparison of MLP Neural Network and Neuro-fuzzy System in Transcranial Doppler Signals Recorded from the Cerebral Vessels

  • Authors:

  • Fırat Hardalaç

  • Affiliations:

  • Department of Computer Engineering, Faculty of Engineering, Kırıkkale University, Kırıkkale, Turkey and , Aydınlıkevler, Ankara, Turkey 06130

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2008

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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.