Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Xiuxi Wei"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-38 (2024)
Abstract Addressing the challenge of efficiently solving multi-objective optimization problems (MOP) and attaining satisfactory optimal solutions has always posed a formidable task. In this paper, based on the chicken swarm optimization algorithm, pr
Externí odkaz:
https://doaj.org/article/2e2a72a6b7294d1982d78b4038519059
Publikováno v:
Systems Science & Control Engineering, Vol 10, Iss 1, Pp 662-685 (2022)
Wireless sensor network (WSN) coverage problem is to think about how to maximize the network coverage to obtain reliable monitoring and tracking services with guaranteed quality of service. In this paper, a simplified slime mould algorithm (SSMA) for
Externí odkaz:
https://doaj.org/article/270c2e1d73574ee1931598efbbc15605
Publikováno v:
Biomimetics, Vol 9, Iss 1, p 3 (2023)
Clustering is an unsupervised learning method. Density Peak Clustering (DPC), a density-based algorithm, intuitively determines the number of clusters and identifies clusters of arbitrary shapes. However, it cannot function effectively without the co
Externí odkaz:
https://doaj.org/article/4f1acc30623947fa8adfcd0ee4d50d02
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2023)
IntroductionRegression and classification are two of the most fundamental and significant areas of machine learning.MethodsIn this paper, a radial basis function neural network (RBFNN) based on an improved black widow optimization algorithm (IBWO) ha
Externí odkaz:
https://doaj.org/article/7286b69f9d0d412fbb38b22bbaa3b4f7
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
Solar photovoltaic power generation has become the focus of the world energy market. However, weak continuity and variability of solar power data severely increase grid operating pressure. Therefore, it is necessary to propose a new refined and targe
Externí odkaz:
https://doaj.org/article/0db4c11af2cc43499e3647f4dc7c8af6
Publikováno v:
Entropy, Vol 25, Iss 6, p 946 (2023)
Data clustering is one of the most influential branches of machine learning and data analysis, and Gaussian Mixture Models (GMMs) are frequently adopted in data clustering due to their ease of implementation. However, there are certain limitations to
Externí odkaz:
https://doaj.org/article/3f022e1567a14dc2a31ed8d29cbd6b3f
Publikováno v:
Biomimetics, Vol 8, Iss 2, p 212 (2023)
Due to the traditional use of manual methods for the parameter adjustment of a nonlinear beta transform, which is inefficient and unstable, an adaptive image enhancement algorithm based on a variable step size fruit fly optimization algorithm and a n
Externí odkaz:
https://doaj.org/article/2b982aa2c6d3489a8f240d34b998f371
Publikováno v:
IEEE Access, Vol 9, Pp 121944-121956 (2021)
Grey wolf algorithm (GWO) is a classic swarm intelligence algorithm, but it has the disadvantages of slow convergence speed and easy to fall into local optimum on some problems. Therefore, an improved grey wolf optimization algorithm(IGWO) is propose
Externí odkaz:
https://doaj.org/article/b084f04c303742e490b59c2bad7bdbdd
Publikováno v:
Entropy; Volume 25; Issue 6; Pages: 946
Data clustering is one of the most influential branches of machine learning and data analysis, and Gaussian Mixture Models (GMMs) are frequently adopted in data clustering due to their ease of implementation. However, there are certain limitations to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::d35154eb04af6b11c4a1617828327d37
Publikováno v:
International Journal of Swarm Intelligence Research. 13:1-19
The recently proposed smooth twin support vector regression, denoted by STSVR, gains better training speed compared with twin support vector regression (TSVR). In the STSVR, sigmoid function is used for the smooth function, however, its approximation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de6c51025ff94e7e00b6d7f4a8d7c6c
https://doi.org/10.4018/ijsir.302615
https://doi.org/10.4018/ijsir.302615