prindi

Using neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedance

autor
Giannoukos, Georgios
Min, Mart
vastutusandmed
Georgios Giannoukos and Mart Min
allikas
Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014) : Rhodes, Greece, 22-28 September 2014
ilmumiskoht
Melville
kirjastus/väljaandja
AIP
ilmumisaasta
2015
leheküljed
p. 850001-1 - 850001-4
seeria-sari
AIP conference proceedings ; 1648
konverentsi nimetus, aeg
International Conference on Numerical Analysis and Applied Mathematics 2014, 22-28 September 2014
konverentsi toimumispaik
Rhodes, Greece
leitav
http://dx.doi.org/10.1063/1.4913056
märksõna
neuronvõrgud
immuunsüsteem
bioimpedants
elektriline impedants
diagnostika (meditsiin)
võtmesõna
bioimpedance
immune system
thymus
bone marrow
non-linear circuit
T-cell
B-cell
computer algebra
neural network
ISSN
0094-243X
ISBN
978-0-7354-1287-3
märkused
Includes bibliogr
TTÜ struktuuriüksus
Thomas Johann Seebecki elektroonikainstituut
keel
inglise
Giannoukos, G., Min, M. Using neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedance // Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2014 (ICNAAM-2014) : Rhodes, Greece, 22-28 September 2014. Melville : AIP, 2015. p. 850001-1 - 850001-4. (AIP conference proceedings ; 1648). http://dx.doi.org/10.1063/1.4913056