Cargando…
Proposal of neural network model for neurocognitive rehabilitation and its comparison with fuzzy expert system model
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 CHC model. This unique approach allows for the saturation o...
Autores principales: | Kotyrba, Martin, Habiballa, Hashim, Volna, Eva, Jarusek, Robert, Smolka, Pavel, Prasek, Martin, Malina, Marek, Jaremova, Vladena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580608/ https://www.ncbi.nlm.nih.gov/pubmed/37845677 http://dx.doi.org/10.1186/s12911-023-02321-1 |
Ejemplares similares
-
ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster
por: Volna, Eva, et al.
Publicado: (2015) -
Editorial: Expert opinions in neurocognitive aging and behavior: neural rehabilitation for elder people
por: Zhou, Ping, et al.
Publicado: (2023) -
Expert systems and fuzzy systems
por: Negoita, Constantin Virgil
Publicado: (1985) -
Dragonfly Hunter CZ: Mobile application for biological species recognition in citizen science
por: Ožana, Stanislav, et al.
Publicado: (2019) -
Predicting the outcome of AIS brace treatment using expert judgement and a fuzzy model
por: Chalmers, Eric, et al.
Publicado: (2015)