Articles with "valued neural" as a keyword



Stabilization of complex‐valued neural networks subject to semi‐Markov jumping parameters: A dynamic event‐triggered protocol

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Published in 2024 at "Asian Journal of Control"

DOI: 10.1002/asjc.3442

Abstract: For continuous‐time complex‐valued neural networks, this paper addresses the state‐feedback stabilization issue via dynamic event‐triggered protocol. Aiming at random parameters' switching, semi‐Markov jump model surpasses the Markov jump model in terms of its generality, enabling… read more here.

Keywords: complex valued; event triggered; valued neural; neural networks ... See more keywords

Resolution of singularities via deep complex-valued neural networks

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Published in 2018 at "Mathematical Methods in The Applied Sciences"

DOI: 10.1002/mma.4434

Abstract: It has been reported that training deep neural networks is more difficult than training shallow neural networks. Hinton et al. proposed deep belief networks with a learning algorithm that trains one layer at a time. A… read more here.

Keywords: valued neural; deep neural; neural networks; singular points ... See more keywords

Convergence of Quasi-Newton Method for Fully Complex-Valued Neural Networks

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-017-9621-7

Abstract: In this paper, based on Wirtinger calculus, we introduce a quasi-Newton method for training complex-valued neural networks with analytic activation functions. Using the duality between Wirtinger calculus and multivariate real calculus, we prove a convergence… read more here.

Keywords: valued neural; method; quasi newton; newton method ... See more keywords
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Robust State Estimation for Delayed Complex-Valued Neural Networks

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-017-9626-2

Abstract: This paper is concerned with the state estimation problem for the uncertain complex-valued neural networks with time delays. The parameter uncertainties are assumed to be norm-bounded. Through available output measurements containing nonlinear Lipschitz-like terms, we… read more here.

Keywords: state; valued neural; neural networks; state estimation ... See more keywords

Synchronization Control of Quaternion-Valued Neural Networks with Parameter Uncertainties

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Published in 2019 at "Neural Processing Letters"

DOI: 10.1007/s11063-019-10153-2

Abstract: In this paper, by starting from basic quaternion algebra properties and algorithms, we develop a comprehensive set of properties to ensure the uncertain quaternion-valued neural networks can receive synchronization and quasi-synchronization goals. By endowing the… read more here.

Keywords: quaternion; valued neural; neural networks; control ... See more keywords

Synchronization in Quaternion-Valued Neural Networks with Delay and Stochastic Impulses

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Published in 2022 at "Neural Processing Letters"

DOI: 10.1007/s11063-021-10653-0

Abstract: A class of global exponential synchronization problem for delayed quaternion-valued neural networks with stochastic impulses has been investigated in this paper, where the impulses arouse time and strength both are randomly. Firstly, the delayed quaternion-valued… read more here.

Keywords: quaternion valued; valued neural; neural networks; stochastic impulses ... See more keywords

Stability and synchronization of octonion-valued neural networks with leakage and mixed delays on time scales

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Published in 2024 at "Computational and Applied Mathematics"

DOI: 10.1007/s40314-024-02820-5

Abstract: There has been a great deal of interest in the last few years for neural networks (NNs) with values in multidimensional domains. The most popular models are complex-valued neural networks (CVNNs), followed by quaternion-valued neural… read more here.

Keywords: time; octonion; valued neural; algebra ... See more keywords

Lagrange stability analysis for complex-valued neural networks with leakage delay and mixed time-varying delays

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Published in 2017 at "Neurocomputing"

DOI: 10.1016/j.neucom.2017.03.015

Abstract: This paper discusses the stability in Lagrange sense for complex-valued neural networks with time-varying discrete delays and distributed delays as well as leakage delay. By constructing an appropriate LyapunovKrasovskii functional, and employing free-weighting-matrix approach and… read more here.

Keywords: valued neural; neural networks; time varying; complex valued ... See more keywords

Global μ-synchronization of impulsive complex-valued neural networks with leakage delay and mixed time-varying delays

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.04.040

Abstract: Abstract In this paper, the problem on synchronization is investigated for a class of impulsive complex-valued neural networks with discrete and distributed time-varying delays as well as leakage delay. By constructing appropriate Lyapunov–Krasovskii functional, and… read more here.

Keywords: valued neural; neural networks; complex valued; impulsive complex ... See more keywords

Synchronization of two nonidentical complex-valued neural networks with leakage delay and time-varying delays

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.04.068

Abstract: Abstract This paper investigates the global asymptotical synchronization of two nonidentical complex-valued neural networks (CVNNs) with leakage delay and time-varying delays via integral sliding mode control approach. A suitable sliding surface and an appropriate Lyapunov–Krasovskii… read more here.

Keywords: synchronization two; valued neural; complex valued; synchronization ... See more keywords

Global exponential stability of delayed complex-valued neural networks with discontinuous activation functions

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.02.006

Abstract: Abstract This paper studies the global exponential stability of delayed complex-valued neural networks with discontinuous activation functions. By introducing the complex-valued Filippov differential inclusion, we construct the framework of studying the dynamical behaviors of complex-valued… read more here.

Keywords: valued neural; neural networks; activation functions; networks discontinuous ... See more keywords