Application of MLP-ANN strategy to predict higher heating value of biomass in terms of proximate analysis

Applications of artificial neural networks for thermal analysis of heat exchangers – A review

(2015) M. Mohanraj et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES

Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

(2015) Alireza Baghban et al.   JOURNAL OF SUPERCRITICAL FLUIDS

Estimation of higher heating value of biomass from proximate analysis: A new approach

(2012) Daya Ram Nhuchhen et al.   FUEL

Thermochemical Routes for Biomass-based Hydrogen Production

(2010) M. Balat   Energy Sources Part A-Recovery Utilization and Environmental Effects

Prediction of higher heating values of biomass from proximate and ultimate analyses

(2010) Chun-Yang Yin   FUEL

Global Status of Biomass Energy Use

(2009) M. Balat   Energy Sources Part A-Recovery Utilization and Environmental Effects

Development of a new proximate analysis based correlation to predict calorific value of coal

(2008) A MAJUMDER et al.   FUEL