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Toplam kayıt 10, listelenen: 1-10
Q Learning Regression Neural Network
(Neural Network World, 2018)
In this work, a Nadaraya-Watson kernel based learning system which owns general regression neural network topology is adapted to Q learning method to evaluate a quick and efficient action selection policy for reinforcement ...
Performance Comparision of Different Momentum Techniques on Deep Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2017)
Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ...
LU triangularization extreme learning machine in EEG cognitive task classification
(Springer, 2019)
Electroencephalography (EEG) has been used as a promising tool for investigation of brain activity during cognitive processes. The aim of this study is to reveal whether EEG signals can be used for classifying cognitive ...
Kablosuz algılayıcı ağlarda düğümlerin kapsama yarıçapının ağ ömrüne etkisi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Kablosuz algılayıcı ağlarda (KAA) ağ ömrünün iyileştirilmesi için kümeleme ve yönlendirme algoritmalarının yanısıra performans parametreleri de oldukça önemlidir. Düğüm sayısı, ağ alanı ve düğümlerin kapsama yarıçapı gibi ...
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
(Springer, 2015)
Brain Computer Interface (BCI) is a type of human-computer relationship research that directly translates electrical activity of brain into commands that can rule equipment and create novel communication channel for muscular ...
Deep Convolutional Generalized Classifier Neural Network
(Springer, 2020)
Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks ...
Webcam Based Real-Time Robust Optical Mark Recognition
(Springer, 2015)
This study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any ...
Beyin Bilgisayar Arayüzü Tabanli Görsel Tespit Sistemi
(Institute of Electrical and Electronics Engineers Inc., 2017)
Bu çalışmada görsel verilerin EEG sinyali üzerinde
meydana getirdiği p300 bileşeni kullanılarak örüntü tanıma tabanlı beyin bilgisayar ara yüzü geliştirilmiştir. EMOTIV EPOC+ kayıt cihazı ve OPENVIBE yazılımı kullanılarak ...
Differential convolutional neural network
(Elsevier, 2019)
Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing ...
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
(Türkiye Klinikleri, 2020)
Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ...