Search Results - "Melis Ozyildirim, Buse"
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Pattern Layer Reduction for a Generalized Regression Neural Network by Using a Self–Organizing Map
Published in International journal of applied mathematics and computer science (01-06-2018)“…In a general regression neural network (GRNN), the number of neurons in the pattern layer is proportional to the number of training samples in the dataset. The…”
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Generalized classifier neural network
Published in Neural networks (01-03-2013)“…In this work a new radial basis function based classification neural network named as generalized classifier neural network, is proposed. The proposed…”
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A cluster based approach to reduce pattern layer size for generalized regression neural network
Published in Mühendislik bilimleri dergisi (2018)Get full text
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Levenberg–Marquardt multi-classification using hinge loss function
Published in Neural networks (01-11-2021)“…Incorporating higher-order optimization functions, such as Levenberg–Marquardt (LM) have revealed better generalizable solutions for deep learning problems…”
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Levenberg–Marquardt multi-classification using hinge loss function
Published in Neural networks (12-07-2021)“…Incorporating higher-order optimization functions, such as Levenberg-Marquardt (LM) have revealed better generalizable solutions for deep learning problems…”
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Deep Learning on Mobile Systems
Published in 2018 Innovations in Intelligent Systems and Applications Conference (ASYU) (01-10-2018)“…Training of deep learning methods which are widely utilized in intelligent systems requires powerful computers, however, they are also used on mobile systems…”
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Conference Proceeding -
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One pass learning for generalized classifier neural network
Published in Neural networks (01-01-2016)“…Generalized classifier neural network introduced as a kind of radial basis function neural network, uses gradient descent based optimized smoothing parameter…”
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Logarithmic learning for generalized classifier neural network
Published in Neural networks (01-12-2014)“…Generalized classifier neural network is introduced as an efficient classifier among the others. Unless the initial smoothing parameter value is close to the…”
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Genelleştirilmiş regresyon yapay sinir ağı örüntü katman büyüklüğünü azaltmak için kümeleme tabanlı bir yaklaşım
Published in Mühendislik bilimleri dergisi (01-10-2018)“…Genelleştirilmiş Regresyon Yapay Sinir Ağı (GRYSA) radyal tabanlı çalışan ve genellikle tahminleyici olarak kullanılan denetimli-öğrenimli bir yapay sinir ağı…”
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İşletim sistemleri ve sistem programlama: Mutlu Avcı, Buse Melis Özyıldırım, Onur Ülgen
Published 2019“…Günümüzde Bilgisayar Bilimleri ve Bilişim Teknolojileri yaşamın her alanı için vazgeçilmez olmuştur. İnternet ortamı hemen her konuda bulanıklığa neden olacak…”
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Do optimization methods in deep learning applications matter?
Published 28-02-2020“…With advances in deep learning, exponential data growth and increasing model complexity, developing efficient optimization methods are attracting much research…”
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Handwritten Digits Classification with Generalized Classifier Neural Network
Published in 2018 Innovations in Intelligent Systems and Applications Conference (ASYU) (01-10-2018)“…Pattern recognition process is composed of three main steps: preprocessing, feature extraction and classification. Characteristic features and an efficient…”
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Conference Proceeding -
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Comparison of convolutional neural network models for food image classification
Published in 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA) (01-07-2017)“…According to some estimates of World Health Organization (WHO), in 2014, more than 1.9 billion adults aged 18 years and older were overweight. Overall, about…”
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Conference Proceeding -
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Image Classification of Aerial Images Using CNN-SVM
Published in 2018 Innovations in Intelligent Systems and Applications Conference (ASYU) (01-10-2018)“…Image classification is a very easy task for humans. Even a three years old child can classify an image instantly and without any doubt. However, teaching…”
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Neville interpolation-based normal estimation
Published in Elektrik : Turkish journal of electrical engineering & computer sciences (2017)Get full text
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Genelleştirilmiş regresyon yapay sinir ağı örüntü katman büyüklüğünü azaltmak için kümeleme tabanlı bir yaklaşım
Published in Mühendislik bilimleri dergisi (01-10-2018)“…Genelleştirilmiş Regresyon Yapay Sinir Ağı (GRYSA) radyal tabanlı çalışan ve genellikle tahminleyici olarak kullanılan denetimli-öğrenimli bir yapay sinir ağı…”
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Journal Article -
18
Genelleştirilmiş regresyon yapay sinir ağı örüntü katman büyüklüğünü azaltmak için kümeleme tabanlı bir yaklaşım
Published in Mühendislik bilimleri dergisi (01-10-2018)“…Genelleştirilmiş Regresyon Yapay Sinir Ağı (GRYSA) radyal tabanlı çalışan ve genellikle tahminleyici olarak kullanılan denetimli-öğrenimli bir yapay sinir ağı…”
Get full text
Journal Article -
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Genelleştirilmiş regresyon yapay sinir ağı örüntü katman büyüklüğünü azaltmak için kümeleme tabanlı bir yaklaşım
Published in Mühendislik bilimleri dergisi (01-10-2018)“…Genelleştirilmiş Regresyon Yapay Sinir Ağı (GRYSA) radyal tabanlı çalışan ve genellikle tahminleyici olarak kullanılan denetimli-öğrenimli bir yapay sinir ağı…”
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