000021085 001__ 21085
000021085 005__ 20170119130222.0
000021085 04107 $$aeng
000021085 046__ $$k2014-09-22
000021085 100__ $$aGiannoukos, Georgios
000021085 24500 $$aUsing neural networks to model self-immune disease in terms of the alterations of the dynamic electrical impedance

000021085 24630 $$n11.$$pProceedings of the international conference on numerical analysis and applied mathematics 2014
000021085 260__ $$b
000021085 506__ $$arestricted
000021085 520__ $$2eng$$abioimpedance, immune system, thymus, bone marrow, non-linear circuit, T-cell, B-cell, Computer Algebra, neural network.

000021085 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021085 653__ $$a

000021085 7112_ $$aInternational conference on numerical analysis and applied mathematics 2014$$cRhodes (GR)$$d2014-09-22 / 2014-09-28$$gICNAAM2014
000021085 720__ $$aGiannoukos, Georgios$$iMin, Mart
000021085 8560_ $$ffischerc@itam.cas.cz
000021085 8564_ $$s250000$$uhttps://invenio.itam.cas.cz/record/21085/files/850001_1.pdf$$yOriginal version of the author's contribution as presented on USB, paper 850001_1.pdf.
000021085 962__ $$r20333
000021085 980__ $$aPAPER