Zobrazeno 1 - 10
of 130
pro vyhledávání: '"adam algorithm"'
Autor:
Mohammad Lashkari, Amin Gheibi
Publikováno v:
AUT Journal of Mathematics and Computing, Vol 5, Iss 4, Pp 361-375 (2024)
The generalization performance of deep neural networks with regard to the optimization algorithm is one of the major concerns in machine learning. This performance can be affected by various factors. In this paper, we theoretically prove that the Lip
Externí odkaz:
https://doaj.org/article/c4b9081057d14de6831544d342e30115
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 2, Pp 1-9 (2024)
Distributed Optical Fiber Sensing Technology, with advantages such as long detection distance, resistance to electromagnetic interference, and easy maintenance, is widely applied in various fields including security monitoring, electrical safety, and
Externí odkaz:
https://doaj.org/article/ea47093d5de645ceb61339d47a69a65d
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 1270-1285 (2024)
The Adam algorithm is a common choice for optimizing neural network models. However, its application often brings challenges, such as susceptibility to local optima, overfitting and convergence problems caused by unstable learning rate behavior. In t
Externí odkaz:
https://doaj.org/article/4ac1cf89a0284342b5744d7a2cb82232
Autor:
Xu Yicen
Publikováno v:
Paladyn, Vol 15, Iss 1, Pp pp. 282-315 (2024)
In order to better realize the optimal trajectory planning and trajectory control in industrial robots, a method based on ADAM algorithm is proposed. Taking PUMA 560 industrial robot as the research object, using nonlinear data sets and mathematical
Externí odkaz:
https://doaj.org/article/e25166f6bba141b1a97b832d870bb781
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2452 (2024)
In this study, a gastrointestinal image classification method based on the improved Adam algorithm is proposed. Gastrointestinal image classification is of great significance in the field of medical image analysis, but it presents numerous challenges
Externí odkaz:
https://doaj.org/article/3d4b999b4046481c9ea66ab0552995fc
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2509 (2024)
Due to the complexity and illegibility of medical images, it brings inconvenience and difficulty to the diagnosis of medical personnel. To address these issues, an optimization algorithm called GSL(Gradient sine linear) based on Adam algorithm improv
Externí odkaz:
https://doaj.org/article/b23573d1b33d4817a9ae7b2ef6ce40cf
Publikováno v:
Algorithms, Vol 17, Iss 7, p 272 (2024)
Current stomach disease detection and diagnosis is challenged by data complexity and high dimensionality and requires effective deep learning algorithms to improve diagnostic accuracy. To address this challenge, in this paper, an improved strategy ba
Externí odkaz:
https://doaj.org/article/e7f3f80be1cf4faab7c4c3ef343f4e27
Autor:
Jianying Zhang
Publikováno v:
AppliedMath, Vol 3, Iss 3, Pp 525-551 (2023)
As a class of non-Newtonian fluids with yield stresses, Bingham fluids possess both solid and liquid phases separated by implicitly defined non-physical yield surfaces, which makes the standard numerical discretization challenging. The variational re
Externí odkaz:
https://doaj.org/article/76e2ffb1f4c746c5be945c6d29836fb1
Publikováno v:
Algorithms, Vol 17, Iss 5, p 185 (2024)
The Adam algorithm is a widely used optimizer for neural network training due to efficient convergence speed. The algorithm is prone to unstable learning rate and performance degradation on some models. To solve these problems, in this paper, an impr
Externí odkaz:
https://doaj.org/article/23f64c075f2147c2aa0c5ec90a7f1d02
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