Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Yichuan Shao"'
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
Publikováno v:
Energy and AI, Vol 16, Iss , Pp 100349- (2024)
Dust accumulation on the surface of solar photovoltaic panels diminishes their power generation efficiency, leading to reduced energy generation. Regular monitoring and cleaning of solar photovoltaic panels is essential. Thus, developing optimal proc
Externí odkaz:
https://doaj.org/article/a2529563ce9b4802be2fc754d9cc3b29
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
An Improved Reacceleration Optimization Algorithm Based on the Momentum Method for Image Recognition
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1759 (2024)
The optimization algorithm plays a crucial role in image recognition by neural networks. However, it is challenging to accelerate the model’s convergence and maintain high precision. As a commonly used stochastic gradient descent optimization algor
Externí odkaz:
https://doaj.org/article/0d95bceb88f5490d8120e0a824faf3a8
Publikováno v:
Symmetry, Vol 16, Iss 5, p 623 (2024)
This paper introduces an enhanced variant of the Adam optimizer—the BGE-Adam optimization algorithm—that integrates three innovative technologies to augment the adaptability, convergence, and robustness of the original algorithm under various tra
Externí odkaz:
https://doaj.org/article/fd06868b84354cbfb31c9ba363aeea91
Publikováno v:
Sensors, Vol 24, Iss 9, p 2914 (2024)
To address the various challenges in aluminum surface defect detection, such as multiscale intricacies, sensitivity to lighting variations, occlusion, and noise, this study proposes the AluDef-ClassNet model. Firstly, a Gaussian difference pyramid is
Externí odkaz:
https://doaj.org/article/570d52acbd624d0b8ca971a0a25fdc6f
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
Publikováno v:
International Journal of Lightweight Materials and Manufacture, Vol 3, Iss 2, Pp 88-99 (2020)
As a novel lightweight metallic material, elastic-porous metal rubber (EPMR) also known as entangled wire mesh or wire washer can be used for vibration damping elements in extreme environments where traditional polymer rubbers deteriorate or become i
Externí odkaz:
https://doaj.org/article/a5898a1c22574135b0520d4142c4e0bb