Cover Image

Dynamics of a random Hopfield neural lattice model with adaptive synapses and delayed Hebbian learning

Saved in:

Bibliographic Details
Date:	2023
Main Authors:	X. Han, P. E. Kloeden
Format:	Article
Language:	English
Published:	2023
Series:	Ukrainian Mathematical Journal
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001457825
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Dynamics of a random Hopfield neural lattice model with adaptive synapses and delayed Hebbian learning
by: Han, Xiaoying, et al.
Published: (2024)

The convergence of neurodynamics processes in the Hopfield model
by: A. V. Shatyrko, et al.
Published: (2017)

Global robust exponential stability for Hopfield neural networks with non-Lipschitz activation functions
by: Hongtao Yu, et al.
Published: (2012)

A pool model of the mediator exocytosis into the synapse
by: O. M. Vasyliev, et al.
Published: (2019)

A pool model of the mediator exocytosis into the synapse
by: A. N. Vasilev, et al.
Published: (2019)

Neural network technologies to processing natural language texts in adaptive learning systems
by: I. M. Domanetska, et al.
Published: (2017)

On application of lattice differential equations with delay for immunosensor modeling
by: V. P. Martsenjuk, et al.
Published: (2018)

Model of the immunosensor on the basis of lattice differential equations with delay
by: V. P. Martseniuk, et al.
Published: (2018)

Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020)

Neural networks’ learning process acceleration
by: Katerynych, L., et al.
Published: (2020)

An exponential evaluation for recurrent neural network with discrete delays
by: V. P. Martseniuk, et al.
Published: (2019)

On excitation of oscillations in nonlinear systems with random delay
by: Kolomiets, V. G., et al.
Published: (1966)

Two dimensional model of learning in spiking neural networks with homeostasis and reward
by: V. M. Osaulenko
Published: (2017)

Neural networks&#039; learning process acceleration
by: L. Katerynych, et al.
Published: (2020)

Structural and Parametric Synthesis of Deep Learning Neural Networks
by: V. M. Syniehlazov, et al.
Published: (2020)

Random covers of finite homogeneous lattices
by: Alekseychuk, A.N.
Published: (2006)

Artificial Intelligence Systems in Adaptive Learning
by: V. Demianenko
Published: (2019)

Algorithm for identification of dynamic models with delay
by: N. L. Kostjan, et al.
Published: (2015)

Application of differential equations with time delay on a hexagonal lattice for immunosensor modeling
by: V. P. Martsenjuk, et al.
Published: (2019)

Global exponential stability of a class of neural networks with unbounded delays
by: Tran Thi Loan, et al.
Published: (2008)

Global exponential stability of a class of neural networks with unbounded delays
by: Duong, Anh Tuan, et al.
Published: (2008)

Approach to the study of global asymptotic stability of lattice differential equations with delay for modeling of immunosensors
by: V. P. Martsenjuk, et al.
Published: (2019)

Recursive algorithms of adaptive lattice filters adjustment
by: D. I. Lekhovitskij, et al.
Published: (2016)

Adaptation and Learning in Some Classes of Identification and Control Systems
by: L. S. Zhiteckii, et al.
Published: (2015)

Adaptation and Learning in Some Classes of Identification and Control Systems
by: Zhiteckii, L.S., et al.
Published: (2015)

The dynamics of one arms race mathematical model with delay
by: A. V. Shatyrko, et al.
Published: (2020)

Analyzing the models of speech recognition on the basis of neural networks of deep learning for examination of digital phonograms
by: V. I. Solovev, et al.
Published: (2021)

Improving face recognition models using convolutional neural networks, metric learning and optimization methods
by: A. M. Litvynchuk, et al.
Published: (2021)

Developing a semantic image model using machine learning based on convolutional neural networks
by: P. I. Andon, et al.
Published: (2020)

Developing a semantic image model using machine learning based on convolutional neural networks
by: Andon, P.I., et al.
Published: (2020)

Dynamics of Market Conditions with Continuous Delays in the
by: A. V. Voronin, et al.
Published: (2014)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
by: Gorbunov, A. A., et al.
Published: (2017)

Self-learning neural network technologies in the systems of structural recognition of visual objects
by: Berestovskii, A. E., et al.
Published: (2015)

Application of Deep Learning Neural Network for Classification of Big Data of Astronomic Observations
by: A. A. Gorbunov, et al.
Published: (2017)

Study of stochastic gradient methods for optimization of algorithms of learning artificial neural networks
by: T. A. Samoljuk
Published: (2017)

Characteristics of quantal release of glutamate and GABA in synapses between retinal ganglion cells and superior colliculus neurons in coculture
by: H. V. Dumanska, et al.
Published: (2014)

Revealing novel quantum phases in quantum antiferromagnets on random lattices
by: Yu, R., et al.
Published: (2009)

Adaptation of oscillatory systems in networks — a learning signal approach
by: J. Rodriguez
Published: (2014)

Adaptation of oscillatory systems in networks — a learning signal approach
by: Rodriguez, J.
Published: (2014)

Development of a Cluster with Cloud Computing Based on Neural Networks With Deep Learning for Modeling Multidimensional Fields
by: M. Kosovets, et al.
Published: (2021)