Anti-periodic solutions for state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays
Sign Up to like & getrecommendations! Published in 2017 at "Annals of Operations Research"
DOI: 10.1007/s10479-016-2192-6
Abstract: In this paper, we address a new model of neural networks related to the impulsive phenomena which is called state-dependent impulsive recurrent neural networks with time-varying and continuously distributed delays. We investigate sufficient conditions on… read more here.
Keywords: networks time; neural networks; impulsive recurrent; state dependent ... See more keywords
Exponential Synchronizationlike Criterion for State-Dependent Impulsive Dynamical Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2854826
Abstract: This paper focuses on the problem of the exponential synchronizationlike criteria for state-dependent impulsive dynamical networks (SIDNs). Two types of sufficient conditions, which are applied to ensure every solution intersecting each impulsive surface exactly once,… read more here.
Keywords: dynamical networks; dependent impulsive; state dependent; impulsive dynamical ... See more keywords
Pinning Controller Design for Set Reachability of State-Dependent Impulsive Boolean Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3171576
Abstract: Considered the stimulation of tumor necrosis factor as an impulsive control, an apoptosis network is modeled as a state-dependent impulsive Boolean network (SDIBN). Making cell death normally means driving the trajectory of an apoptosis network… read more here.
Keywords: reachability; state dependent; dependent impulsive; impulsive boolean ... See more keywords
Mode-Mixed Effects Based Intralayer-Dependent Impulsive Synchronization for Multiple Mismatched Multilayer Neural Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3220193
Abstract: This article focuses on the intralayer-dependent impulsive synchronization of multiple mismatched multilayer neural networks (NNs) with mode-mixed effects. Initially, a novel multilayer NN model that removes the one-to-one interlayer coupling constraint and introduces nonidentical model… read more here.
Keywords: mixed effects; neural networks; intralayer dependent; dependent impulsive ... See more keywords