Fort McMurray AB / Q IWA Publishing / Neural Networks / The EPR / Spiegel / Wilson / Artificial Neural Networks / using the EPR / /
Country
Canada / United Kingdom / China / /
Currency
GBP / / /
Event
Environmental Issue / /
Facility
University of Exeter / Carleton University / Mildred Lake mine / University of Bari / University of Saskatchewan / /
IndustryTerm
random search / gation algorithm / toolbox/software / search progresses / functional evolutionary algorithms / logical applications / biological product / evolutionary algorithm / surface energy / eddy covariance other applications / oil / evolutionary algorithms / exhaustive search / energy / search method / systematic search / oil sands / energy storage / net radiant energy / genetic algorithm / non-linear systems / static systems / serious randomized evolutionary search methods / channel networks / infinite search space / interconnected / search space / received energy / measurement methods energy / /
NaturalFeature
Mildred Lake / South Bison Hill / /
Organization
EPR NR / Carleton University / Ottawa / GT / Engineering Faculty / Italy D. Savic School of Engineering / Computer Science and Mathematics / University of Bari / Committee on Application of Artificial Neural Networks Artificial Neural Networks / Department of Civil and Geological Engineering / Centre for Advanced Numerical Simulation / S. K. Carey Department of Geography and Environmental Studies / O. Giustolisi Department of Civil and Environmental Engineering / ASCE Task Committee on Application / University of Exeter / Exeter / ASCE Task Committee on Application of Artificial / University of Saskatchewan / /
Person
Equation / /
Position
Prime Minister / corresponding author / interpreter / model / feed-forward / international flux PM / Fisher / representative / /
Q IWA Publishing 2010 Journal of Hydroinformatics | 12.4 | Comparison of three data-driven techniques in modelling the evapotranspiration process