Zobrazeno 1 - 10
of 217
pro vyhledávání: '"evolutionary techniques"'
Publikováno v:
AppliedMath, Vol 4, Iss 3, Pp 1143-1161 (2024)
In this paper, an innovative hybrid technique is proposed for the efficient training of artificial neural networks, which are used both in class learning problems and in data fitting problems. This hybrid technique combines the well-tested technique
Externí odkaz:
https://doaj.org/article/97f139c92ce04e69bafc94a80f38b9dc
Publikováno v:
AppliedMath, Vol 4, Iss 2, Pp 709-730 (2024)
The topic of efficiently finding the global minimum of multidimensional functions is widely applicable to numerous problems in the modern world. Many algorithms have been proposed to address these problems, among which genetic algorithms and their va
Externí odkaz:
https://doaj.org/article/f1d35c23a06644e08b063f72734b370c
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10567 (2024)
Global optimization is critical in engineering, computer science, and various industrial applications as it aims to find optimal solutions for complex problems. The development of efficient algorithms has emerged from the need for optimization, with
Externí odkaz:
https://doaj.org/article/0ab9f8b8c108416aa8baeeca4aebee87
Publikováno v:
Algorithms, Vol 17, Iss 9, p 394 (2024)
Parallel optimization enables faster and more efficient problem-solving by reducing computational resource consumption and time. By simultaneously combining multiple methods, such as evolutionary algorithms and swarm-based optimization, effective exp
Externí odkaz:
https://doaj.org/article/48f0507857b7491990463c42f3889ba2
Publikováno v:
Future Internet, Vol 16, Iss 5, p 172 (2024)
The Grammatical Evolution technique has been successfully applied to a wide range of problems in various scientific fields. However, in many cases, techniques that make use of Grammatical Evolution become trapped in local minima of the objective prob
Externí odkaz:
https://doaj.org/article/a60400a55aaf4bf4bbfed2b0c1307b79
Publikováno v:
Computers, Vol 13, Iss 5, p 111 (2024)
The Grammatical Evolution technique has been successfully applied to some datasets from various scientific fields. However, in Grammatical Evolution, the chromosomes can be initialized at wide value intervals, which can lead to a decrease in the effi
Externí odkaz:
https://doaj.org/article/3a5f38b11ae64a2583c486012848bdab
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 33, Iss 1, Pp 21-31 (2023)
Face recognition (FR) is one of the most active research areas in the field of computer vision. Convolutional neural networks (CNNs) have been extensively used in this field due to their good efficiency. Thus, it is important to find the best CNN par
Externí odkaz:
https://doaj.org/article/79aa36d3529e406abd17187190e874ec
Akademický článek
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Akademický článek
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Autor:
Libero Nigro, Franco Cicirelli
Publikováno v:
Algorithms, Vol 16, Iss 12, p 572 (2023)
K-Means is a “de facto” standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, i
Externí odkaz:
https://doaj.org/article/74082ca925d841c4921d11b359f87404