Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions

Autoria(s): Li, Kang; Thompson, Stephen; Wieringa, P.A.; Peng, Jian Xun; Duan, G.R.
Data(s)

01/06/2003
Identificador

http://pure.qub.ac.uk/portal/en/publications/neural-networks-and-genetic-algorithms-can-support-human-supervisory-control-to-reduce-fossil-fuel-power-plant-emissions(29969ada-6a40-4190-9b34-67660e92413f).html

http://dx.doi.org/10.1007/s10111-002-0107-6
Idioma(s)

eng
Direitos

info:eu-repo/semantics/restrictedAccess
Fonte

Li , K , Thompson , S , Wieringa , P A , Peng , J X & Duan , G R 2003 , ' Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions ' Cognition, Technology and Work , vol 5(2) , pp. 107-126 . DOI: 10.1007/s10111-002-0107-6
Tipo

article
Acesso ao item digital