Robust synchronization of memristor-based fractional-order Hopfield neural networks with parameter uncertainties
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DOI: 10.1007/s00521-017-3274-3
Abstract: A new dynamic system, the fractional-order Hopfield neural networks with parameter uncertainties based on memristor are investigated in this paper. Through constructing a suitable Lyapunov function and some sufficient conditions are established to realize the… read more here.
Keywords: robust synchronization; fractional order; hopfield neural; order hopfield ... See more keywords
Finite-Time Stabilization of Neutral Hopfield Neural Networks with Mixed Delays
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DOI: 10.1007/s11063-018-9791-y
Abstract: In this article, we investigate the problem of finite time stabilization (FTS) of neutral Hopfield neural networks (NHNNs) with mixed delays including infinite distributed time delays. Firstly, general conditions on the control law are established… read more here.
Keywords: finite time; neural networks; time stabilization; time ... See more keywords
Stability Analysis in a Class of Markov Switched Stochastic Hopfield Neural Networks
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DOI: 10.1007/s11063-018-9912-7
Abstract: Recently, a new class of stochastic systems induced by linear discrete time noises was proposed and studied. Up to now, the existing literatures mainly investigated the exponential stability of such stochastic systems under the global… read more here.
Keywords: markov switched; class; stochastic hopfield; stability ... See more keywords
Complex dynamics of a 4D Hopfield neural networks (HNNs) with a nonlinear synaptic weight: Coexistence of multiple attractors and remerging Feigenbaum trees
Sign Up to like & getrecommendations! Published in 2018 at "AEU - International Journal of Electronics and Communications"
DOI: 10.1016/j.aeue.2018.06.025
Abstract: Abstract This contribution investigates the nonlinear dynamics of a model of a 4D Hopfield neural networks (HNNs) with a nonlinear synaptic weight. The investigations show that the proposed HNNs model possesses three equilibrium points (the… read more here.
Keywords: hnns nonlinear; networks hnns; neural networks; nonlinear synaptic ... See more keywords
Optimal model identification of the PEMFCs using optimized Rotor Hopfield Neural Network
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DOI: 10.1016/j.egyr.2021.06.052
Abstract: Abstract In this paper, a new effective technique is presented for model identification of the Proton-exchange membrane (PEM) fuel cells by a new hybrid model of Rotor Hopfield Neural Network (RHNN). The concept is to… read more here.
Keywords: neural network; model identification; model; hopfield neural ... See more keywords
Fixed points of symmetric complex-valued Hopfield neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.006
Abstract: Abstract A complex-valued Hopfield neural network (CHNN) is a model of a multistate Hopfield neural network, and has been applied to the storage of multilevel data. Weak noise tolerance, however, is a disadvantage of CHNNs.… read more here.
Keywords: valued hopfield; minima; local minima; complex valued ... See more keywords
Multistate vector product hopfield neural networks
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DOI: 10.1016/j.neucom.2017.07.013
Abstract: Abstract Several high-dimensional models of Hopfield neural networks, such as complex-valued and quaternionic Hopfield neural networks, have been proposed. However, it has been hard to construct three-dimensional models of Hopfield neural networks. A split type… read more here.
Keywords: hopfield neural; vector product; neural networks; product hopfield ... See more keywords
Hyperbolic Hopfield neural networks with directional multistate activation function
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DOI: 10.1016/j.neucom.2017.10.053
Abstract: Abstract Complex-valued Hopfield neural networks (CHNNs) have been applied to various fields, although they tend to suffer from low noise tolerance. Rotational invariance, which is an inherent property of CHNNs, reduces noise tolerance. CHNNs have… read more here.
Keywords: multistate activation; neural networks; noise tolerance; hopfield neural ... See more keywords
Dynamics and oscillations of generalized high-order Hopfield neural networks with mixed delays
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DOI: 10.1016/j.neucom.2018.01.061
Abstract: Abstract Existence and uniqueness of pseudo almost automorphic solutions for a class of high-order Hopfield neural networks are established by employing a suitable fixed point theorem and differential inequality. Moreover, the attractivity and global exponential… read more here.
Keywords: order hopfield; dynamics oscillations; neural networks; high order ... See more keywords
Hopfield neural networks using Klein four-group
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DOI: 10.1016/j.neucom.2019.12.127
Abstract: Abstract Complex-valued Hopfield neural networks have been extended to several high-dimensional Hopfield neural networks (HDHNNs) using hypercomplex numbers. However, the extensions by hypercomplex numbers are limited. For example, the dimensions of Clifford and Cayley-Dickson algebras… read more here.
Keywords: networks using; neural networks; four group; klein four ... See more keywords
Matrix-valued twin-multistate Hopfield neural networks
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DOI: 10.1016/j.neucom.2020.02.056
Abstract: Abstract A complex-valued Hopfield neural network (CHNN) has been widely used for the storage of image data. The CHNN has been extended using hypercomplex numbers. A couple of hypercomplex-valued Hopfield neural networks employ a twin-multistate… read more here.
Keywords: neural networks; multistate hopfield; valued twin; twin multistate ... See more keywords