| dc.contributor.author | Gerasimov, Vadim | |
| dc.contributor.author | Jonaitis, Gintaras | |
| dc.contributor.author | Jonkus, Vytautas | |
| dc.date.accessioned | 2023-09-18T17:08:14Z | |
| dc.date.available | 2023-09-18T17:08:14Z | |
| dc.date.issued | 2015 | |
| dc.identifier.issn | 2029-1035 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/120072 | |
| dc.description.abstract | General principles for creating the electronic system devoted for processing and recognition of myoelectric signals were observed. Due to functional importance, usage of Artificial Neural Networks (ANN) for recognicion purposes were estimated as principle | eng |
| dc.format.extent | p. 7-12 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.source.uri | http://journal.kolegija.lt/iitsbe/2015/Gerasimov-application1-IITSBE-2015-1(18)-7-12.pdf | |
| dc.title | Application of artificial neural networks for human muscle signal analysis and mechanical equipment control. 1. Problem overview. | |
| dc.type | Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed source | |
| dcterms.references | 5 | |
| dc.type.pubtype | S4 - Straipsnis kitame recenzuotame leidinyje / Article in other peer-reviewed publication | |
| dc.contributor.institution | Vilniaus universitetas | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
| dc.contributor.department | Biomechanikos katedra / Department of Biomechanics | |
| dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
| dc.subject.researchfield | N 002 - Fizika / Physics | |
| dc.subject.en | Artificial Neural Networks | |
| dc.subject.en | ANN | |
| dc.subject.en | recognition of myoelectric signals | |
| dc.subject.en | electromyogram | |
| dc.subject.en | linear regression method | |
| dc.subject.en | supervised learning | |
| dc.subject.en | logistic regression | |
| dc.subject.en | artificial neuron. | |
| dcterms.sourcetitle | Innovative infotechnologies for science, business and education | |
| dc.description.volume | Vol. 1 (18) | |
| dc.publisher.name | Vilniaus verslo kolegija | |
| dc.publisher.city | Vilnius | |
| dc.identifier.elaba | 26997217 | |
