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Optimized feed-forward neural networks to address CO2-equivalent emissions data gaps – Application to emissions prediction for unit processes of fuel life cycle inventories for Canadian provinces

Sayyed Ahmad Khadem, Farid Bensebaa, Nathan Pelletier

2021Journal of Cleaner Production31 citationsDOI

Topics & Concepts

Artificial neural networkHeuristicsNetwork topologyWorkflowComputer scienceCategorical variableProcess (computing)Life-cycle assessmentData miningEngineeringMachine learningDatabaseProduction (economics)Operating systemEconomicsMacroeconomicsEnvironmental Impact and SustainabilityEnergy, Environment, and Transportation PoliciesAtmospheric and Environmental Gas Dynamics
Optimized feed-forward neural networks to address CO2-equivalent emissions data gaps – Application to emissions prediction for unit processes of fuel life cycle inventories for Canadian provinces | Litcius