Detail výsledku

Neural network for waste-water recognition

KUCHTA, R., VRBA, R., FUJCIK, L. Neural network for waste-water recognition. WSEAS Transactions on Circuits, 2004, vol. 2004, no. 9, 3 p. ISSN: 1109-2734.
Typ
článek v časopise
Jazyk
anglicky
Autoři
Kuchta Radek, doc. Ing., Ph.D., UMEL (FEKT)
Vrba Radimír, prof. Ing., CSc., UMEL (FEKT)
Fujcik Lukáš, doc. Ing., Ph.D., UMEL (FEKT)
Abstrakt

This paper presents neural network for waste-water recognition by using sensor array. Each sensor in sensor
array detects chemicals in waste-water with different sensitivity. Set of measured data is digitized and recognized by a
neural network. Measuring process doesn’t need any human operator. The result gives the only information:
contaminated or not contaminated.

Klíčová slova

Neural network, waste-water, sensor array, contaminated water, sewerage plant.

Rok
2004
Strany
3
Časopis
WSEAS Transactions on Circuits, roč. 2004, č. 9, ISSN 1109-2734
Kniha
WSEAS TRANSACTIONS on CIRCUITS and SYSTEMS
Řada
Řecko
Vydání
1
Konference
WSEAS Multiconference
Vydavatel
WSEAS
Místo
Rio de Janeiro
BibTeX 
@article{BUT42226,
  author="Radek {Kuchta} and Radimír {Vrba} and Lukáš {Fujcik}",
  title="Neural network for waste-water recognition",
  journal="WSEAS Transactions on Circuits",
  year="2004",
  volume="2004",
  number="9",
  pages="3",
  issn="1109-2734"
}
Pracoviště
Ústav mikroelektroniky (UMEL)
Nahoru