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of 550
pro vyhledávání: '"APSO"'
Autor:
Muhammad Ayyaz Tariq, Muhammad Salman Fakhar, Ghulam Abbas, Syed Abdul Rahman Kashif, Ateeq Ur Rehman, Khmaies Ouahada, Habib Hamam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract A random initialization of the search particles is a strong argument in favor of the deployment of nature-inspired metaheuristic algorithms when the knowledge of a good initial guess is lacked. This article analyses the impact of the type of
Externí odkaz:
https://doaj.org/article/af502801f1c54a86bceb32fe78b074cf
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100621- (2024)
Solar Photovoltaic (SPV) panel manufacturers provide a datasheet, which contains key electrical specifications of the SPV module for the user's reference. However, these data alone prove inadequate in anticipating the performance of PV systems under
Externí odkaz:
https://doaj.org/article/fe3a444f0d74498ea92f79f3c98cb6c0
Publikováno v:
IEEE Access, Vol 12, Pp 106236-106252 (2024)
Feature selection plays a significant role in machine learning and data mining, where the goal is to screen out the most representative and relevant subset of features from a large collection of features to improve the performance and generalization
Externí odkaz:
https://doaj.org/article/15c4d75931ee44af9506d7e272d5cccb
Autor:
Yingjie Liu, Dawei Cui
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 429 (2024)
In response to the problem of low optimization efficiency and low tracking accuracy in vehicle path tracking, a comprehensive optimization method is established based on the 3-DOF vehicle motion model. The outer layer adopts the adaptive particle swa
Externí odkaz:
https://doaj.org/article/9e5d40841df94f9bb1d5f91cd4c8a9d8
Publikováno v:
Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. Dec2017, Vol. 46 Issue 6, p606-610. 5p.
Publikováno v:
PeerJ Computer Science, Vol 10, p e1890 (2024)
As the economy continues to develop and technology advances, there is an increasing societal need for an environmentally friendly ecosystem. Consequently, natural gas, known for its minimal greenhouse gas emissions, has been widely adopted as a clean
Externí odkaz:
https://doaj.org/article/00951a991d2941a0ac663f109b20361e
Akademický článek
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Publikováno v:
You-qi chuyun, Vol 41, Iss 6, Pp 702-712 (2023)
In order to accurately forecast the change of natural gas demand under the condition of multi-dimensional influencing factors, the adaptive inertia weight factor was introduced to improve the Particle Swarm Optimization (PSO) algorithm. Then, by comb
Externí odkaz:
https://doaj.org/article/31bc8664f9664aba89f31784516b9735
Publikováno v:
Water, Vol 16, Iss 8, p 1179 (2024)
Accurate medium- and long-term runoff prediction models play crucial guiding roles in regional water resources planning and management. However, due to the significant variation in and limited amount of annual runoff sequence samples, it is difficult
Externí odkaz:
https://doaj.org/article/4fa6e214540349d28f891fc25eece5a7