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303 results for “Neural network, complex-valued neural network, activation function, swish”

Research Article Open Access The New Activation Function for Complex Valued Neural Networks: Complex Swish Function
Mehmet Çelebi, Çelebi M, Murat Ceylan, Ceylan M
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.050

Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …

Research Article Open Access On Some Properties of a Vector-Valued Function Space
İsmail Aydın, Aydın İ
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.011

The study of various mathematical problems (such as elasticity, non-Newtonian fluids and electrorheological fluids) with variable exponent growth condition has been received considerable attention in recent years. These problems are interesting in applications…

Research Article Open Access Kompleks Değerli Yapay Sinir Ağları ile Kardiotokogram Verisinde Morfolojik Örüntü Sınıflandırma
Eda  Çapa Kızıltaş  , Çapa Kızıltaş   E, Ayşenur  Uzun  , Uzun   A, Ersen  Yılmaz  , Yılmaz   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

Research Article Open Access PREDICTION OF HIGH-TEMPERATURE PERFORMANCE OF GEOPOLYMER MODIFIED ASPHALT BINDER USING ARTIFICIAL NEURAL NETWORKS
Mustafa Alas, Alas M, Shaban Ismael Albrka Ali  , Albrka Ali   S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…

Research Article Open Access Derin Öğrenme-Tabanlı Optimum Eşik Değeri ile Cihazdan Cihaza İşbirlikli İletişim Sistemlerinin Hata Başarımının İyileştirilmesi
Emre Çakar, Çakar E, Ahmet Emir, Emir A, Ferdi Kara, Kara F, Hakan Kaya, Kaya H
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.001

Makine öğrenmesi teknikleri, hesaplama hızları, başarımları ve tam bilgiye sahip olunmayan durumlarda bile sunduğu çözümler sayesinde birçok mühendislik problemleri için vazgeçilmez bir araç haline gelmiştir. Tüm mühendislik alanlarında olduğu gibi, kablosuz i…

Research Article Open Access Forecasting the Dielectric Properties of the Insulation Material using an Embedded ANN Microcontroller
Hakan Aydoğan, Aydoğan H, Faruk Aras, Aras F, Ercüment Karakaş, Karakaş E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

Research Article Open Access Comparison the forecasting performance of wavelet activation functions in wind speed prediction with wavelet neural networks
Mustafa Demir, Demir M, Turgut Özseven, Özseven T, Arzu Sarıgül, Sarıgül A, Serkan Şenkal, Şenkal S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018

The integration of increasing renewable energy-based energy production into the existing electricity grid has become of great importance. The biggest difficulty to integration into the power grid is variability and discontinuity of wind energy. To deal with th…

Research Article Open Access Uyku Bozuklukları ve Kardiyovasküler Hastalıklar
Nural Erzurum Alim, Erzurum Alim N, Şerife  Ayten, Ayten Ş
3rd International Symposium on Innovative Approaches in Scientific Studies (Social, Human and Administrative Sciences) 2019

Uyku bozuklukları toplumda yaygın olarak görülen bir halk sağlığı sorunudur. Uyku; zaman, ışık, beslenme gibi birçok çevresel faktörden etkilenen 24 saatte bir tekrar eden sirkadiyen ritmin önemli bir parçasıdır. Uyku bozuklukları; İnsomnia [kronik uykusuzluk]…

Research Article Open Access Forecasting the Installed Wind Power in Turkey by Artificial Neural Network
Mehmet Feyzi Özsoy, Özsoy M, Hakan Aydoğan, Aydoğan H
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

Research Article Open Access Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Research Article Open Access A New Convolutional Neural Network Model for Skin Cancer Detection in Dermatoscopic Images
Mustafa Furkan Keskenler, Keskenler M, Deniz Dal, Dal D
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.006

Skin cancer is the abnormal growth of skin cells and one of the most common cancers of all. There are several types of skin cancer. Melanoma, a form of skin cancer, has increased 237% in Turkey in the last 30 years. While the U.S. adds about one million new ca…

Research Article Open Access Standart ve Geliştirilen Klonal Seçim Algoritması Kullanılarak Aritmilerin Sınıflandırılması
Ziynet  Pamuk  , Pamuk   Z
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Bu çalışmada Yapay Bağışıklık Sistemine(YBS) dayalı Klonal Seçim Algoritması'nın (KSA) Matlab ortamında yazılımı gerçekleştirilmiştir. Ayrıca KSA'na koşul tabanlı bir yapı eklenerek geliştirilmiştir. Geliştirilen Koşul-Tabanlı Klonal Seçim Algoritması (KT-KSA)…

Research Article Open Access Statistical Equi-Equal Convergence Of Double Sequences And Korovkin Type Approximation Theorems
Fadime Dirik, Dirik F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.053

Many researchers have been interested in the concept of statistical convergence. Since statistical convergence is stronger than the classical convergence. Then, F. Móricz has introduced the statistical convergence of double sequences (Arch. Math. 81 no.1, 82-8…

Research Article Open Access A Performance Analysis of Extreme Learning Machine on Skin Segmentation Dataset
Ayşenur  Uzun  , Uzun   A, Eda Çapa  Kızıltaş  , Kızıltaş   E, Ersen  Yılmaz  , Yılmaz   E
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…

Research Article Open Access Operative-predictive control of a reactor plant based on fuzzy models
Malika Doshanova, Doshanova M, Ortiq Ruzibayev, Ruzibayev O, Sherzod Sabirov, Sabirov S, Oybek Begimov, Begimov O
Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0034

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…

Research Article Open Access Evaluation of choroidal thickness in patients with papulopustular rosacea
Tayfun Şahin, Şahin T
4th International Symposium on Innovative Approaches in Health and Sports Sciences 2019 https://doi.org/10.36287/setsci.4.9.018

To evaluate and compare choroidal thickness in patients with PPR (papulopustular rosacea) and healthy controls. Methods: In this prospective, cross-sectional study, thirty eyes of 30 patients with PPR and 30 eyes of 30 age- and sex-matched healthy subjects wer…

Review Open Access Advancements in Radar Performance through Generative AI: A Sector-Wide Survey
Selin Sevcan Çakan, Çakan S, Niyazi Ahmet Metin, Metin N, Ali Berkol, Berkol A
6th International Symposium on Innovations in Scientific Areas 2024 https://doi.org/10.36287/setsci.18.1.0095

This article presents a comprehensive survey on the integration of Generative Artificial Intelligence (AI) technologies in radar applications, with a focus on enhancing radar data processing and system capabilities. Generative AI techniques, particularly Gener…

Research Article Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001

With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…

Research Article Open Access Some results of the driving point impedance functions
Bülent Nafi ÖRNEK, ÖRNEK B, Canan ORAL, ORAL C, Timur DÜZENLİ, DÜZENLİ T
2nd International Symposium on Innovative Approaches in Scientific Studies 2018

In this paper, a boundary version of the Schwarz lemma has been considered for driving point impedance functions at s = 0 point of the imaginary axis. Accordingly, under Z(0) 0 = condition, the modulus of the derivative of the Z s ( ) function has been consi…

Research Article Open Access Ortogonal Koni Metrik Uzaylarda Bazı Ortak Sabit Nokta Teoremleri
Mehmet  SÜRMELİOĞLU  , SÜRMELİOĞLU   M, Nurcan  BİLGİLİ GÜNGÖR  , BİLGİLİ GÜNGÖR   N
3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) 2019

2017 yılında Gordji, Ramazani, De La Sen ve Cho [1] ortogonal küme ve ortogonal metrik uzay kavramlarını vermişlerdir. Ardından genelleştirilmiş metrik uzaylarda sabit nokta çalışmaları yapılmıştır ([2]). 2018 yılında Bilgili Gungor [3], koni metrik uzaylarda …

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