000020910 001__ 20910
000020910 005__ 20170119130215.0
000020910 04107 $$aeng
000020910 046__ $$k2014-09-22
000020910 100__ $$aPietras, Marcin
000020910 24500 $$aError analysis in the hardware neural networks applications using reduced floating-point numbers representation

000020910 24630 $$n11.$$pProceedings of the international conference on numerical analysis and applied mathematics 2014
000020910 260__ $$b
000020910 506__ $$arestricted
000020910 520__ $$2eng$$aError analysis; ANN; Reduced precision; floating-point; Number representation; Performance/accuracy ratio.

000020910 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000020910 653__ $$a

000020910 7112_ $$aInternational conference on numerical analysis and applied mathematics 2014$$cRhodes (GR)$$d2014-09-22 / 2014-09-28$$gICNAAM2014
000020910 720__ $$aPietras, Marcin
000020910 8560_ $$ffischerc@itam.cas.cz
000020910 8564_ $$s418666$$uhttps://invenio.itam.cas.cz/record/20910/files/660005_1.pdf$$yOriginal version of the author's contribution as presented on USB, paper 660005_1.pdf.
000020910 962__ $$r20333
000020910 980__ $$aPAPER