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Modeling and possible implementation of self-learning equivalence-convolutional neural structures for auto-encoding-decoding and clusterization of images
VG Krasilenko, AA Lazarev… - … on Applications of …, 2017 - spiedigitallibrary.org
Self-learning equivalent-convolutional neural structures (SLECNS) for auto-coding-
decoding and image clustering are discussed. The SLECNS architectures and their spatially …
decoding and image clustering are discussed. The SLECNS architectures and their spatially …
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 …
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 …
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 …
Recognition algorithms of multilevel images of multicharacter identification objects based on nonlinear equivalent metrics and analysis of experimental data
VG Krasilenko, AI Nikolsky… - … , and Applications VI, 2002 - spiedigitallibrary.org
The given paper suggest recognition algorithms of multilevel images of multicharacter
identification objects. These algorithms are based on application of linear (nonlinear) …
identification objects. These algorithms are based on application of linear (nonlinear) …
The concept models and implementations of multiport neural net associative memory for 2D patterns
VG Krasilenko, AI Nikolskyy… - Optical Pattern …, 2011 - spiedigitallibrary.org
The paper considers neural net models and training and recognizing algorithms with base
neurobiologic operations: p-step autoequivalence and non-equivalenc The Modified …
neurobiologic operations: p-step autoequivalence and non-equivalenc The Modified …
Family of new operations equivalency of neuro-fuzzy logic: optoelectronic realization and applications
VG Krasilenko, AI Nikolsky… - Photonic and …, 2002 - spiedigitallibrary.org
The perspective of neural networks equivalental models (EM) base on vector-matrix
procedure with basic operations of continuous and neuro-fuzzy logic (equivalence, absolute …
procedure with basic operations of continuous and neuro-fuzzy logic (equivalence, absolute …
The concept of biologically motivated time-pulse information processing for design and construction of multifunctional devices of neural logic
On the basis of the analysis of advanced approaches and optoelectronic systems for
realization of various logics: two-valued, multi-valued, neural, continuous and others the …
realization of various logics: two-valued, multi-valued, neural, continuous and others the …
Design and applications of a family of optoelectronic photocurrent logical elements on the basis of current mirrors and comparators
VG Krasilenko, AI Nikolsky… - … in Industry and …, 2005 - spiedigitallibrary.org
We consider design of hardware realizations of optoelectronic logical elements of two-
valued logic with current inputs and current outputs on the basis of CMOS current mirrors …
valued logic with current inputs and current outputs on the basis of CMOS current mirrors …