Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Reverse learning"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract To address the issues of lacking ability, loss of population diversity, and tendency to fall into the local extreme value in the later stage of optimization searching, resulting in slow convergence and lack of exploration ability of the arti
Externí odkaz:
https://doaj.org/article/b21204da70ae421eae5bdf29e68cab3c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract In order to improve the accuracy of concrete dynamic principal identification, a concrete dynamic principal identification model based on Improved Dung Beetle Algorithm (IDBO) optimized Long Short-Term Memory (LSTM) network is proposed. Firs
Externí odkaz:
https://doaj.org/article/fbf5dcfbadc646e7a1766db810e3f618
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 7, Pp 102797- (2024)
For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO). First, the search method of grey wolves
Externí odkaz:
https://doaj.org/article/8d3c1f40214e4bfbaeff950aef7ca09c
Publikováno v:
IEEE Access, Vol 12, Pp 134304-134339 (2024)
The Gold Rush Optimizer (GRO) is a recently proposed popular metaheuristic algorithm, but it has sluggish convergence speed, low accuracy, and a tendency to become stuck in local optima when dealing with actual situations. To solve these deficiencies
Externí odkaz:
https://doaj.org/article/ddaa9071cf1040f080ea23541618bb1b
Autor:
Na Zhang, Xiaofeng Wang
Publikováno v:
IEEE Access, Vol 12, Pp 74169-74184 (2024)
Classification algorithms are one of the important research topics in the artificial intelligence, widely applied in various scientific and engineering fields. Extreme learning machine is a single hidden layer feed-forward neural network algorithm. C
Externí odkaz:
https://doaj.org/article/70a05b4ce25b4f2a8b7c247f7f2d1f04
Publikováno v:
Sensors, Vol 24, Iss 18, p 5926 (2024)
To improve the accuracy of camera calibration, a novel optimization method is proposed in this paper, which combines convex lens imaging with the bionic algorithm of Wolf Pack Predation (CLI-WPP). During the optimization process, the internal paramet
Externí odkaz:
https://doaj.org/article/32266b87930746c4bea718de20623c67
Autor:
Lijin Guo, Xiaoyan Hu
Publikováno v:
Water, Vol 16, Iss 16, p 2232 (2024)
As an important part of environmental science and water resources management, water quality prediction is of great importance. In order to improve the efficiency and accuracy of predicting dissolved oxygen (DO) at the outlet of a reservoir, this pape
Externí odkaz:
https://doaj.org/article/901965e154674a6a9137b7f818ef2f2f
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25390- (2024)
In order to enhance the operational efficiency of the healthcare industry, this paper investigates a medical information diagnostic platform through the application of swarm and evolutionary algorithms. This paper begins with an analysis of the curre
Externí odkaz:
https://doaj.org/article/3054418db8044b3e8c72f9f173eaaed2
Publikováno v:
Dianxin kexue, Vol 39, Pp 82-90 (2023)
In order to improve the effectiveness of mobile network scheduling operation information, a method of mobile network scheduling operation information sharing based on chaos reverse learning improved gray wolf algorithm was proposed.On the basis of st
Externí odkaz:
https://doaj.org/article/638b9477006d42d88cfbdaa6aa9a8e65
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 5966 (2024)
Short-term power load forecasting plays a key role in daily scheduling and ensuring stable power system operation. The problem of the volatility of the power load sequence and poor prediction accuracy is addressed. In this study, a learning model int
Externí odkaz:
https://doaj.org/article/5cc677fcafbc4b2ba82c7467b8940bdc