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Design and simulation of neuron-equivalentors array for creation of self-learning equivalent-convolutional neural structures (SLECNS)
(Хмельницький національнтй університет, 2021)
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 DNNS), for associative memory models, ...
The new basic realizations of operations “Equivalence” of neuro-fuzzy and bioinspired neuro-logics to create hardware accelerators of advanced equivalental models of neural structures and machine vision systems
(Вісник Хмельницького національного університету, 2021)
The perspective of neural networks equivalental models (EM) base on vector-matrix procedure with basic operations of continuous and neuro-fuzzy logic (equivalence, absolute difference) are shown. Capacity on base EMs ...