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Continuous logic equivalence models of Hamming neural network architectures with adaptive-correlated weighting
VG Krasilenko, FM Saletsky… - … : Optical Memory and …, 1998 - spiedigitallibrary.org
The continuous logicequivalental'models of Hamming neural networks with adaptive-
correlated weighting and multiport associative memory based on equivalence operation of …
correlated weighting and multiport associative memory based on equivalence operation of …
Design and simulation of a multiport neural network heteroassociative memory for optical pattern recognitions
V Krasilenko, A Lazarev… - … Pattern Recognition XXIII, 2012 - spiedigitallibrary.org
The modified matrix equivalently models (MMEMs) of multiport neural network
heteroassociative memory (MP_NN_HAM) with double adaptive-equivalently weighing …
heteroassociative memory (MP_NN_HAM) with double adaptive-equivalently weighing …
Optical pattern recognition algorithms on neural-logic equivalent models and demonstration of their prospects and possible implementations
VG Krasilenko, AI Nikolsky, AV Zaitsev… - Optical Pattern …, 2001 - spiedigitallibrary.org
Historic information regarding the appearance and creation of fundamentals of algebra-
logical apparatus-equivalental algebra'for description of neuro-nets paradigms and …
logical apparatus-equivalental algebra'for description of neuro-nets paradigms and …
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 …
Using a multi-port architecture of neural-net associative memory based on the equivalency paradigm for parallel cluster image analysis and self-learning
VG Krasilenko, AA Lazarev… - Intelligent Robots …, 2013 - spiedigitallibrary.org
We consider equivalency models, including matrix-matrix and matrix-tensor and with the
dual adaptive-weighted correlation, multi-port neural-net auto-associative and hetero …
dual adaptive-weighted correlation, multi-port neural-net auto-associative and hetero …
Modeling of biologically motivated self-learning equivalent-convolutional recurrent-multilayer neural structures (BLM_SL_EC_RMNS) for image fragments clustering …
VG Krasilenko, AA Lazarev… - MIPPR 2017: Pattern …, 2018 - spiedigitallibrary.org
The biologically-motivated self-learning equivalence-convolutional recurrent-multilayer
neural structures (BLM_SL_EC_RMNS) for fragments images clustering and recognition will …
neural structures (BLM_SL_EC_RMNS) for fragments images clustering and recognition will …
Application of nonlinear correlation functions and equivalence models in advanced neuronets
VG Krasilenko, OK Kolesnitsky… - … on Correlation Optics, 1997 - spiedigitallibrary.org
Mathematical fundamentals of neurobiologic, equivalence algebra and equivalence models
of neural networks are considered. Modified equivalence models of neural networks and …
of neural networks are considered. Modified equivalence models of neural networks and …
The structures of optical neural nets based on new matrix-tensor equivalental models (MTEMs) and results of modeling
VG Krasilenko, AI Nikolskyy, JA Flavitskaya - Optical Memory and Neural …, 2010 - Springer
The structures of optical neural nets (NN) based on new matrix-tensor equivalental models
(MTEMs) and algorithms are described in this article. MTE models are neuroparadigm of …
(MTEMs) and algorithms are described in this article. MTE models are neuroparadigm of …
Experimental research of methods for clustering and selecting image fragments using spatial invariant equivalent models
VG Krasilenko, AA Lazarev… - … on Applications of …, 2014 - spiedigitallibrary.org
In the paper, we show that the nonlinear spatial non-linear equivalency functions on the
basis of continuous logic equivalence (nonequivalence) operations have better …
basis of continuous logic equivalence (nonequivalence) operations have better …