Application of an adaptive neuro‐fuzzy inference system for classification of Behcet disease using the fast Fourier transform method
作者： Necaattin Barişçi , Firat Hardalaç
DOI: 10.1111/J.1468-0394.2007.00424.X
关键词: Training set 、 Inference system 、 Spectral analysis 、 Adaptive neuro fuzzy inference system 、 Ophthalmic artery 、 Fast Fourier transform 、 Behcet disease 、 Healthy subjects 、 Computer science 、 Ophthalmology
摘要: : In this study, ophthalmic arterial Doppler signals were obtained from 200 subjects, 100 of whom suffered ocular Behcet disease while the rest healthy subjects. An adaptive neuro-fuzzy inference system (ANFIS) was used to detect presence disease. Spectral analysis performed by fast Fourier transform method for determining ANFIS inputs. The trained with a training set and tested testing set. All these data sets arteries subjects suffering Performance indicators statistical measures evaluating ANFIS. correct classification rate 94% 90% unhealthy results showed that effective at detecting
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