Konu "Artificial Neural Networks" için Teknik Bilimler Meslek Yüksekokulu listeleme
Toplam kayıt 7, listelenen: 1-7
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A novel high speed Artificial Neural Network–based chaotic True Random Number Generator on Field Programmable Gate Array
(2019)It is well observed that cryptographic applications have great challenges in guaranteeing high security as well as high throughput. Artificial neural network (ANN)–based chaotic true random number generator (TRNG) structure ... -
FPGA Üzerinde Jeotermal Enerji Destekli Hidrojen Üretim Sisteminin YSA İle Ekonomik Analizi
(2018)In this study, the economic analysis of a geothermal energy assisted hydrogen production system has been performed using Artificial Neural Networks (ANN) in real time on Field Programmable Gate Array (FPGA). During the ... -
FPGA-Tabanlı Yapay Sinir Ağı Uygulamaları İçin Yüksek Hızlı TanSig Aktivasyon Fonksiyonunun Gerçeklenmesi
(2016)In recent years, Artificial Neural Networks (ANNs) are used from automotive sector to defense industry and from engineering to banking in many areas. Transfer/activation functions used in ANNS are divided into two sections ... -
Gömülü Yapay Sinir Ağı Uygulamaları İçin FPGA Üzerinde Elliott-2 Tabanlı Tanjant Sigmoid Transer Fonksiyonunun Gerçeklenmesi
(2016)In this study, Elliott-2 Tangent Sigmoid transfer function approach has been implemented for embedded Artificial Neural Network (ANN) using Xilinx ISE simulation program in 32-bit IEEE 754 1985 floating point number ... -
Human impedance parameter estimation using artificial neural network for modelling physiotherapist motion.
(2016)Physiotherapy (physical therapy) is a form of therapy aimed at regaining patients their bodily limb motor functions. The use of what are called therapeutic exercise robots for such purposes is gradually increasing. ... -
IQ-Math Based Designing of Fourth Order Runge-Kutta Algorithm on FPGA and Performance Analysis According to ANN Approximation
(2018-08-20)In this paper, the design of the fourth order Runge-Kutta (RK4) algorithm has been performed using 32- bit IQ-Math (16I-16Q) fixed point number format in VHDL on FPGA. The designed system has been implemented into 3-B ... -
Yapay Sinir Ağları-Tabanlı 3-B Yeni Jerk Kaotik Osilatörünün FPGA Üzerinde Tasarımı ve Gerçeklenmesi
(2018)In this paper, the 3-D novel Jerk chaotic system has been coded in Very High Speed Integrated Circuits Hardware Description Language (VHDL) with 32-bit IEEE-754-1985 floating point number standard for real-time Artificial ...