Ultra-low-voltage integrable electronic implementation of delayed inertial neural networks for complex dynamical behavior using multiple activation functions
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04322-6
Abstract: Ultra-low-voltage sinh-domain implementation of delayed inertial neuron is introduced in this paper. The complex dynamical behavior of the neuron has been verified using three different activation functions, namely tanh, unipolar sigmoidal and bipolar sigmoidal. The… read more here.
Keywords: low voltage; delayed inertial; implementation; dynamical behavior ... See more keywords
Matrix Measure Strategies for Stabilization of Delayed Inertial Neural Networks via Intermittent Control
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3127147
Abstract: In this paper, stabilization control of a class of delayed inertial neural networks (INN) is investigated. Employing matrix measure method and two Halanay-type inequalities, some succinct stabilization criteria in terms of algebraic inequalities are derived… read more here.
Keywords: inertial neural; neural networks; delayed inertial; control ... See more keywords
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3173620
Abstract: In this brief, we consider the stability of inertial memristor-based neural networks with time-varying delays. First, delayed inertial memristor-based neural networks are modeled as continuous systems in the flux-current-voltage-time domain via the mathematical model of… read more here.
Keywords: neural networks; delayed inertial; based neural; inertial memristor ... See more keywords