Neuro-fuzzy Classification of Transcranial Doppler Signals with Chaotic Meaures and Spectral Parameters

ÖZTÜRK, Ali | ARSLAN, Ahmet

Transcranial Doppler (TCD) is a non-invasive diagnosis method which is used in diagnosis of various brain diseases by measuring the blood flow velocities in brain arteries. In this study, chaos analysis of the TCD signals recorded from the middle arteries of the temporal region of brain of the 82 patients and 23 healthy people was investigated. Among 82 patients, 20 of them had cerebral aneurism, 10 had brain hemorrhage, 22 had cerebral oedema and the remaining 30 had brain tumor. Maximum Lyapunov exponent which is the strongest quantitative indicator of chaos was found to be positive for all ...Daha fazlası

Konferans Bildirisi 2015 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme

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Short term prediction of aluminium strip thickness via Support Vector Machines

ÖZTÜRK, Ali | ŞEHERLİ, Rıfat

The fundamental principle of cold rolling process is the tension produced by the coiling and uncoiling motors of the rolling machine. If the tension is not properly regulated, the strip thickness will not be homogenous over the surface and even ruptures may occur. Therefore, short-term prediction of the aluminium strip thickness is important to control the tension. In this study, nonlinear time series analysis methods were applied to the recorded thickness data in order to obtain the embedding vectors with appropriate embedding dimension and time delay. For various prediction horizons, the emb ...Daha fazlası

Konferans Bildirisi 2015 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme