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Orthogonality of diffractive deep neural network
S Zheng, S Xu, D Fan - Optics Letters, 2022 - opg.optica.org
Some rules of the diffractive deep neural network (D^ 2NN) are discovered. They reveal that
the inner product of any two optical fields in D^ 2NN is invariant and the D^ 2NN acts as a …
the inner product of any two optical fields in D^ 2NN is invariant and the D^ 2NN acts as a …
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 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 …
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 …
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 …
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 …
Simulation of algorithms for detection, localization and tracking of moving objects in video streams
In this work, algorithms for detecting, localizing and tracking moving objects in a stream of
video frames are proposed and modeled. The algorithms are based on nonlinear …
video frames are proposed and modeled. The algorithms are based on nonlinear …
Simulation of cells for signals intensity transformation in mixed image processors and activation functions of neurons in neural networks
VG Krasilenko, AA Lazarev… - … університету.№ 5: 127 …, 2021 - ir.lib.vntu.edu.ua
The paper considers results of design, simulation of continuously logical pixel cells (CLPC)
based on current mirrors (CM) with functions of preliminary analogue processing for image …
based on current mirrors (CM) with functions of preliminary analogue processing for image …