Hardalac, Firat2020-06-252020-06-252008closedAccess0148-5598https://doi.org10.1007/s10916-007-9116-6https://hdl.handle.net/20.500.12587/4196Transcranial 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.eninfo:eu-repo/semantics/closedAccessMulti Layer Perceptron (MLP)neuro-fuzzy classification (NEFCLASS)transcranial Dopplerfast Fourier transform (FFT) methodArticle32213714510.1007/s10916-007-9116-62-s2.0-4054911502018461817Q1WOS:000253896600007Q4