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Design and simulation of optoelectronic neuron equivalentors as hardware accelerators of self-learning equivalent convolutional neural structures (SLECNS)
VG Krasilenko, AA Lazarev… - Neuro-inspired Photonic …, 2018 - spiedigitallibrary.org
In the paper, we consider the urgent need to create highly efficient hardware accelerators for
machine learning algorithms, including convolutional and deep neural networks (CNN and …
machine learning algorithms, including convolutional and deep neural networks (CNN and …
Designing and simulation smart multifunctional continuous logic device as a basic cell of advanced high-performance sensor systems with MIMO-structure
VG Krasilenko, AI Nikolskyy… - Photonics, Devices, and …, 2015 - spiedigitallibrary.org
We have proposed a design and simulation of hardware realizations of smart multifunctional
continuous logic devices (SMCLD) as advanced basic cells of the sensor systems with …
continuous logic devices (SMCLD) as advanced basic cells of the sensor systems with …
Simulation of reconfigurable multifunctional continuous logic devices as advanced components of the next generation high-performance MIMO-systems for the …
VG Krasilenko, AI Nikolskyy… - Next-Generation Optical …, 2014 - spiedigitallibrary.org
We consider design and modeling of hardware realizations of reconfigurable multifunctional
continuous logic devices (R MCL D) as advanced components of the next generation high …
continuous logic devices (R MCL D) as advanced components of the next generation high …
Design and simulation of optoelectronic complementary dual neural elements for realizing a family of normalized vector'equivalence-nonequivalence'operations
VG Krasilenko, AI Nikolsky… - Independent …, 2010 - spiedigitallibrary.org
Equivalence models (EM) advantages of neural networks (NN) are shown in paper. EMs are
based on vectormatrix procedures with basic operations of continuous neurologic …
based on vectormatrix procedures with basic operations of continuous neurologic …
Design and simulation of programmable relational optoelectronic time-pulse coded processors as base elements for sorting neural networks
In the paper we show that the biologically motivated conception of time-pulse encoding
usage gives a set of advantages (single methodological basis, universality, tuning simplicity …
usage gives a set of advantages (single methodological basis, universality, tuning simplicity …
Programmed optoelectronic time-pulse coded relational processor as base element for sorting neural networks
VG Krasilenko, VF Bardachenko… - … Neural Networks V, 2007 - spiedigitallibrary.org
In the paper we show that the biologically motivated conception of the use of time-pulse
encoding gives the row of advantages (single methodological basis, universality, simplicity …
encoding gives the row of advantages (single methodological basis, universality, simplicity …
Design and simulation of neuron-equivalentors array for creation of self-learning equivalent-convolutional neural structures (slecns)
V Krasilenko, N Yurchuk… - … університету.№ 3: 58-70., 2021 - ir.lib.vntu.edu.ua
In the paper, we consider the urgent need to create highly efficient hardware accelerators for
machine learning algorithms, including convolutional and deep neural networks (CNN and …
machine learning algorithms, including convolutional and deep neural networks (CNN and …
Design and simulation of image nonlinear processing relational preprocessor based on iterational sorting node
VG Krasilenko, AA Lazarev… - Optical Sensors …, 2019 - spiedigitallibrary.org
In this paper, we propose a new iterative process of sorting an array of signals, which differs
from the known structures of sorting signals by uniformity, versatility, which allows direct and …
from the known structures of sorting signals by uniformity, versatility, which allows direct and …
Rank differences of signals by weighing-selection processing method for implementation of multifunctional image processing processor
VG Krasilenko, AA Lazarev… - Emerging Imaging and …, 2019 - spiedigitallibrary.org
In this paper, we proposed a new iterative process of sorting an array of signals, which
differs from the known structures of sorting signals by uniformity, versatility, which allows …
differs from the known structures of sorting signals by uniformity, versatility, which allows …