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Toplam kayıt 53, listelenen: 1-10
MLR & ANN approaches for prediction of compressive strength of alkali activated EAFS
(Techno Press, 2018)
In this study alkali activation of Electric Arc Furnace Slag (EAFS) is studied with a comprehensive test program. Three different silicate moduli (1-1,5-2), three different sodium concentrations (4%-6%-8%) for each silicate ...
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 ...
A clustering-based approach for the evaluation of candidate emerging technologies
(Springer, 2020)
The aim of this study is to propose a clustering-based approach based on patent information for the evaluation of candidate emerging technologies. The proposed approach uses patent analysis and clustering approaches in ...
Estimating the energy production of the wind turbine using artificial neural network
(Springer-Verlag London Ltd, 2016)
Due to fluctuating weather conditions, estimating wind energy potential is still a significant problem. Artificial neural networks (ANNs) have been commonly used in short-term and just-in-time modeling of wind power ...
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
(Institute of Electrical and Electronics Engineers, 2018)
Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ...
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 ...
Wide band fractal-based perfect energy absorber and power harvester
(Wiley, 2019)
In this article, a novel wide band polarization and incident angle independent metamaterial absorber (MA) and energy harvesting applications which operates at C (4GHz-8 GHz) and X (8GHz-12 GHz) is proposed. The unit-cell ...
NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election
(Springer, 2016)
Due to the battery limitations, energy-efficient routing is one of the most important issues in WSNs. In this paper, a novel distributed clustering routing protocol (NODIC) is proposed. The algorithm makes three main ...
Multi-issue negotiation in quality function deployment: Modified Even-Swaps in new product development
(Elsevier, 2016)
Quality function deployment (QFD) is one of the most powerful methodologies in new product development (NPD) because of its systematic support of knowledge creation and sharing. However, greater product complexity, increasing ...
Novel hybrid pair recommendations based on a large-scale comparative study of concept drift detection
(Elsevier Science, 2021)
During the classification of streaming data, changes in the underlying distribution make formerly learned models insecure and imprecise, which is known as the concept drift phenomenon. Online learning derives information ...