Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Eva Volna"'
Autor:
Martin Kotyrba, Hashim Habiballa, Eva Volna, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina, Vladena Jaremova
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract This article focuses on the development of algorithms for a smart neurorehabilitation system, whose core is made up of artificial neural networks. The authors of the article have proposed a completely unique transfer of ACE-R results to the
Externí odkaz:
https://doaj.org/article/66b4eb71b51f45aeaae10020b41b810e
Publikováno v:
Applied System Innovation, Vol 6, Iss 5, p 77 (2023)
Planning and managing the production process are key challenges faced by every manufacturing organization. The main contribution of this article lies in the analysis and design of a planning algorithm that takes into consideration the specifics of th
Externí odkaz:
https://doaj.org/article/aef00e2789f348c6a50e12586d8b111b
Publikováno v:
Computers, Vol 11, Iss 5, p 70 (2022)
The presented research study focuses on demonstrating the learning ability of a neural network using a genetic algorithm and finding the most suitable neural network topology for solving a demonstration problem. The network topology is significantly
Externí odkaz:
https://doaj.org/article/5ef42001277e452daa99f2e717c88a59
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3089 (2021)
The study is focused on monitoring the influence of selected parameters on the zeta potential values of titanium dioxide nanoparticles. The influence of pH, temperature, ionic strength, and mass content of titanium dioxide in the suspension was asses
Externí odkaz:
https://doaj.org/article/a5346ca739d6449691c54fd172de53b0
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6953 (2021)
Preventive maintenance (PM) in the production industry is one of the most essential measures to eliminate accidental machinery failures by replacing/repairing worn out machines or parts. The decision of when and where to perform preventive maintenanc
Externí odkaz:
https://doaj.org/article/b5d29f14c1e6426e8c213930480c8426
Publikováno v:
Vietnam Journal of Computer Science, Vol 5, Iss 2, Pp 85-94 (2017)
Abstract The aim of the article is to use neural networks to control autonomous robot behavior. The type of the controlling neural network was chosen a backpropagation neural network with a sigmoidal transfer function. The focus in this article is pu
Externí odkaz:
https://doaj.org/article/767a949f759a4258aca81e31afcadcda
Publikováno v:
Mathematics, Vol 9, Iss 8, p 861 (2021)
This article introduces an approach to the automated generation of special algebras through genetic algorithms. These algorithms can be also used for a broader variety of applications in mathematics. We describe the results of research aiming at auto
Externí odkaz:
https://doaj.org/article/109ec975bc07463dbfb5a8576f27afae
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection s
Externí odkaz:
https://doaj.org/article/7bbe2c2b91bd474f8f96aa5463a76908
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:2016-2027
The study deals with the issue of using spiking neural networks (SNNs) in multiagent systems. The research objective is a proposal of a control algorithm for the cooperation of a group of agents using SNNs, application of the Izhikevich model, and pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfb195ad55aba71db50034932c58786e
https://doi.org/10.1109/tnnls.2021.3105800
https://doi.org/10.1109/tnnls.2021.3105800
Publikováno v:
Neural Computing and Applications. 33:16519-16531
This article reflects research in the field of artificial intelligence and demonstrates a higher efficiency achievement of conventional clustering methods in combination with unconventional methods. It concerns a new hybrid approach based on the SOM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09164f8eea8d1702f97ab3350ae949e6
https://doi.org/10.1007/s00521-021-06251-9
https://doi.org/10.1007/s00521-021-06251-9