Zobrazeno 1 - 10
of 881
pro vyhledávání: '"complex-valued neural networks"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 5, Pp 6097-6122 (2024)
In this work, we investigated the finite-time passivity problem of neutral-type complex-valued neural networks with time-varying delays. On the basis of the Lyapunov functional, Wirtinger-type inequality technique, and linear matrix inequalities (LMI
Externí odkaz:
https://doaj.org/article/ab8ede18389745468cb1ae6685dd87f6
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 December 2024 432 Part B
Publikováno v:
In Neural Networks February 2025 182
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 3319-3334 (2024)
The synchronization of inertial complex-valued memristor-based neural networks (ICVMNNs) with time-varying delays was explored in the paper with the non-separation and non-reduced approach. Sufficient conditions required for the exponential synchroni
Externí odkaz:
https://doaj.org/article/ea0f894e436a442eaac7d755b0e5a689
Publikováno v:
Photoacoustics, Vol 37, Iss , Pp 100597- (2024)
Real-time applications in three-dimensional photoacoustic tomography from planar sensors rely on fast reconstruction algorithms that assume the speed of sound (SoS) in the tissue is homogeneous. Moreover, the reconstruction quality depends on the cor
Externí odkaz:
https://doaj.org/article/35e3280873b949c2a7d2a91304c1286e
Publikováno v:
IEEE Access, Vol 12, Pp 86120-86131 (2024)
This paper focuses on investigating fuzzy complex-valued neural networks with inertial item. By utilizing fixed-time stability theory and inequality techniques, we designed two types of feedback controllers and obtained some new criteria to ensure th
Externí odkaz:
https://doaj.org/article/dcd08c37ce00453294e2df745b48345c
Publikováno v:
Fractal and Fractional, Vol 8, Iss 10, p 569 (2024)
This paper explores the synchronization control issue for a class of fractional-order Complex-valued Neural Networks (FOCVNNs) with additive time-varying delays (TVDs) utilizing a sampled-data-based event-triggered mechanism (SDBETM). First, an innov
Externí odkaz:
https://doaj.org/article/4771ce663d794adea7911d9228a7552b
Autor:
Igor Aizenberg, Alexander Vasko
Publikováno v:
Algorithms, Vol 17, Iss 8, p 361 (2024)
This paper presents a detailed analysis of a convolutional neural network based on multi-valued neurons (CNNMVN) and a fully connected multilayer neural network based on multi-valued neurons (MLMVN), employed here as a convolutional neural network in
Externí odkaz:
https://doaj.org/article/041e3b51e84940a6a04050c9fd1b3e65
Autor:
Bingrui Zhang, Jin-E Zhang
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10244-10263 (2023)
In this paper, we study fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks with delays. By applying fractional calculus and fixed-deviation stability theory, sufficient conditions are given to ensure
Externí odkaz:
https://doaj.org/article/3f43fd22c6424d098617814aea1325ca
Autor:
N. Jayanthi, R. Santhakumari, Grienggrai Rajchakit, Nattakan Boonsatit, Anuwat Jirawattanapanit
Publikováno v:
AIMS Mathematics, Vol 8, Iss 1, Pp 2018-2043 (2023)
In cluster synchronization (CS), the constituents (i.e., multiple agents) are grouped into a number of clusters in accordance with a function of nodes pertaining to a network structure. By designing an appropriate algorithm, the cluster can be manipu
Externí odkaz:
https://doaj.org/article/3b07584be7594596ab674dfd85ffb9be