Zobrazeno 1 - 10
of 718
pro vyhledávání: '"zeroing neural network"'
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
To reduce transportation time, a discrete zeroing neural network (DZNN) method is proposed to solve the shortest path planning problem with a single starting point and a single target point. The shortest path planning problem is reformulated as an op
Externí odkaz:
https://doaj.org/article/c7074e3a74fb413ea8fabdf65c142517
Publikováno v:
IEEE Access, Vol 12, Pp 174740-174748 (2024)
The advancement of artificial intelligence has significantly enhanced the role of unmanned surface vehicles (USVs) in various ocean engineering applications. Designing a controller for USV systems that ensures stability, high precision, and rapid con
Externí odkaz:
https://doaj.org/article/66fe2d1190e34c1da8f9f60ab4e4f107
Autor:
Feixiang Yang, Yun Huang
Publikováno v:
IEEE Access, Vol 12, Pp 106466-106479 (2024)
The dynamic matrix square root (DMSR) problem is a recurring nonlinear challenge in many engineering disciplines. Although the original zeroing neural network (OZNN) shows potential for handling such problems, it faces challenges in robustness and co
Externí odkaz:
https://doaj.org/article/7553c7380a2c41f2a75dbcabccf09ead
Autor:
Feixiang Yang, Yun Huang
Publikováno v:
IEEE Access, Vol 12, Pp 82277-82288 (2024)
Matrix inversion is a fundamental operation utilized across numerous disciplines such as mathematics, engineering, and control theory. The original zeroing neural network (OZNN) method has proven effective in tackling the challenge of time-varying ma
Externí odkaz:
https://doaj.org/article/a67e45699de44133b1c7917fa357ce97
Publikováno v:
IEEE Access, Vol 12, Pp 51346-51363 (2024)
Time-varying problems are prevalent in engineering, presenting a significant challenge due to the fluctuations in parameters and goals at different time points. The zeroing neural network (ZNN), a specialized form of recurrent neural network (RNN) de
Externí odkaz:
https://doaj.org/article/601b54a6fd844154936e3618ba73cbd8
Publikováno v:
IEEE Access, Vol 12, Pp 22098-22109 (2024)
The quadratic programming (QP) problem constitutes a distinctive class within mathematical optimization, prevalent in scientific computations and engineering applications. In practical scenarios, noise interference has the potential to adversely impa
Externí odkaz:
https://doaj.org/article/e623f5b43dd24a4fac27d4ac6f5032c1
Publikováno v:
Axioms, Vol 13, Iss 8, p 540 (2024)
The Time-Varying Matrix Inversion (TVMI) problem is integral to various fields in science and engineering. Countless studies have highlighted the effectiveness of Zeroing Neural Networks (ZNNs) as a dependable approach for addressing this challenge.
Externí odkaz:
https://doaj.org/article/1ae95c56eb9e4e3ebb4292c29c3c6cdd
Publikováno v:
Biomimetics, Vol 9, Iss 8, p 453 (2024)
The question “How does it work” has motivated many scientists. Through the study of natural phenomena and behaviors, many intelligence algorithms have been proposed to solve various optimization problems. This paper aims to offer an informative g
Externí odkaz:
https://doaj.org/article/e9a97079d2434e3ba572812287a86d9c
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2090 (2024)
This paper introduces a novel error-based adaptive feedback zeroing neural network (EAF-ZNN) to solve the time-varying quadratic programming (TVQP) problem. Compared to existing variable gain ZNNs, the EAF-ZNN dynamically adjusts the parameter to ada
Externí odkaz:
https://doaj.org/article/a62132db404c418e94d2bb4874df8b3d
Autor:
Sondess B. Aoun, Nabil Derbel, Houssem Jerbi, Theodore E. Simos, Spyridon D. Mourtas, Vasilios N. Katsikis
Publikováno v:
AIMS Mathematics, Vol 8, Iss 11, Pp 27376-27395 (2023)
Dynamic Sylvester equation (DSE) problems have drawn a lot of interest from academics due to its importance in science and engineering. Due to this, the quest for the quaternion DSE (QDSE) solution is the subject of this work. This is accomplished us
Externí odkaz:
https://doaj.org/article/f5c76fd00b29455e988177ef60db308f