no code implementations • 5 Feb 2018 • Daya Shankar Pandey, Saptarshi Das, Indranil Pan, James J. Leahy, Witold Kwapinski
In this paper, multi-layer feed forward neural networks are used to predict the lower heating value of gas (LHV), lower heating value of gasification products including tars and entrained char (LHVp) and syngas yield during gasification of municipal solid waste (MSW) during gasification in a fluidized bed reactor.
no code implementations • 3 Mar 2014 • Indranil Pan, Daya Shankar Pandey, Saptarshi Das
In this paper, a nonlinear symbolic regression technique using an evolutionary algorithm known as multi-gene genetic programming (MGGP) is applied for a data-driven modelling between the dependent and the independent variables.