Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Ioannis G. Tsoulos"'
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:
Analytics, Vol 3, Iss 2, Pp 225-240 (2024)
Global optimization is widely adopted presently in a variety of practical and scientific problems. In this context, a group of widely used techniques are evolutionary techniques. A relatively new evolutionary technique in this direction is that of Gi
Externí odkaz:
https://doaj.org/article/9ae82dc5f63948a2911a50025852b56f
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:
AI, Vol 4, Iss 4, Pp 1059-1078 (2023)
Radial basis function networks are widely used in a multitude of applications in various scientific areas in both classification and data fitting problems. These networks deal with the above problems by adjusting their parameters through various opti
Externí odkaz:
https://doaj.org/article/33ded518c502443fa474a8dc25b59e37
Publikováno v:
Algorithms, Vol 17, Iss 10, p 446 (2024)
Constructed neural networks with the assistance of grammatical evolution have been widely used in a series of classification and data-fitting problems recently. Application areas of this innovative machine learning technique include solving different
Externí odkaz:
https://doaj.org/article/81f0c4e955284a62b257c567149747d7
Publikováno v:
Algorithms, Vol 17, Iss 10, p 461 (2024)
The presented work outlines a new genetic crossover operator, which can be used to solve problems by the Grammatical Evolution technique. This new operator intensively applies the one-point crossover procedure to randomly selected chromosomes with th
Externí odkaz:
https://doaj.org/article/b1996a887ca6432e9902074fb441a5b8
Publikováno v:
Axioms, Vol 13, Iss 10, p 711 (2024)
The current work proposes the incorporation of an artificial neural network to solve the Gross–Pitaevskii equation (GPE) efficiently, using a few realistic external potentials. With the assistance of neural networks, a model is formed that is capab
Externí odkaz:
https://doaj.org/article/b451dade10fd40cf8a08130cc813a5b0
Publikováno v:
Computation, Vol 12, Iss 10, p 205 (2024)
Global optimization is used in many practical and scientific problems. For this reason, various computational techniques have been developed. Particularly important are the evolutionary techniques, which simulate natural phenomena with the aim of det
Externí odkaz:
https://doaj.org/article/fe65ed7f9b5d492a8020b15432a40f0d
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 9, p 338 (2024)
The classification of Software-Defined Networking (SDN) traffic is an essential tool for network management, network monitoring, traffic engineering, dynamic resource allocation planning, and applying Quality of Service (QoS) policies. The programmab
Externí odkaz:
https://doaj.org/article/7d212c3e1a8a40b8aede10f9523806f8