Browsing by Subject "machine learning"
Now showing items 1-5 of 5
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BENZETİMLİ TAVLAMA TEKNİĞİNİ KULLANAN ENİYİLENMİŞ GÖRÜNTÜ VE VİDEO İŞLEME ÜZERİNE KISA BİR LİTERATÜR ARAŞTIRMASI
(Kırklareli Üniversitesi, 2018)Günümüzde benzetimlitavlama (simulated annealing) tekniği popüler bir teknik olarak eniyileme içinyapay zekâ alanında sıklıkla kullanılmaktadır. Bu tekniğin; görüntü işleme,video işleme, yazılım ve diğer alanlarda ele ... -
Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
(Univ Suceava, Fac Electrical Eng, 2020)Autonomous tumor prostheses are extended without the need of a clinic and of a medical supervision. It is necessary to make sure that the patient is not standing before extending these prostheses. This study aims to determine ... -
The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features
(Oxford Univ Press, 2020)In this paper, we introduced a new ensemble learning algorithm called VIBES, which is better in terms of performance when compared to 85 machine learning algorithms in WEKA tool. This new algorithm is based on three major ... -
Diagnosis of neuro degenerative diseases using machine learning methods and wavelet transform
(Gazi Univ, Fac Engineering Architecture, 2017)This study suggests that the force signals applied to the ground may be used to classify neuro-degenerative diseases (NDD) such as Amyotrophic lateral sclerosis (ALS), Huntington's disease (HD) and Parkinson's disease (PD). ... -
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
(Ieee-Inst Electrical Electronics Engineers Inc, 2021)Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of ...
