Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis

Estimation of HHV of lignocellulosic biomass towards hierarchical cluster analysis by Euclidean's distance method

(2018) Rui Galhano dos Santos et al.   FUEL

Design of simplified models for the estimation of higher heating value of refused derived fuels

(2018) Rui Galhano dos Santos et al.   FUEL

Biomass higher heating value (HHV) modeling on the basis of proximate analysis using iterative network-based fuzzy partial least squares coupled with principle component analysis (PCA-INFPLS)

(2018) Soleiman Hosseinpour et al.   FUEL

Estimation of biomass higher heating value (HHV) based on the proximate analysis by using iterative neural network-adapted partial least squares (INNPLS)

(2017) Soleiman Hosseinpour et al.   ENERGY

Application of ANFIS-PSO algorithm as a novel method for estimation of higher heating value of biomass

(2017) Muhammad Suleymani et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

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

(2017) Ebrahim Keybondorian et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Higher heating values of lignin types from wood and non-wood lignocellulosic biomasses

(2017) Ayhan Demirbas   Energy Sources Part A-Recovery Utilization and Environmental Effects

Estimation of the higher heating value of biomass using proximate analysis

(2017) Ebrahim Keybondorian et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Prediction of CO 2 loading capacities of aqueous solutions of absorbents using different computational schemes

(2017) Alireza Baghban et al.   International Journal of Greenhouse Gas Control

Phase behavior modelling of asphaltene precipitation utilizing MLP-ANN approach

(2017) Fariba Zarei et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm

(2016) Eiman Tamah Al-Shammari et al.   ENERGY

Fitting performance of artificial neural networks and empirical correlations to estimate higher heating values of biomass

(2016) Idoia Estiati et al.   FUEL

A Simple Prediction Model for Higher Heat Value of Biomass

(2016) Hongliang Qian et al.   JOURNAL OF CHEMICAL AND ENGINEERING DATA

Exergy-based sustainability assessment of continuous photobiological hydrogen production using anaerobic bacterium Rhodospirillum rubrum

(2016) Ali Dadak et al.   JOURNAL OF CLEANER PRODUCTION

Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids

(2016) Hamid Reza Amedi et al.   JOURNAL OF MOLECULAR LIQUIDS

Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm

(2015) Milan Protić et al.   ENERGY

Evaluation of the most influential parameters of heat load in district heating systems

(2015) Dalibor Petković et al.   ENERGY AND BUILDINGS

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

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

Heat load prediction in district heating systems with adaptive neuro-fuzzy method

(2015) Shahaboddin Shamshirband et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Spanish biofuels heating value estimation. Part I: Ultimate analysis data

(2013) Roberto García et al.   FUEL

Spanish biofuels heating value estimation. Part II: Proximate analysis data

(2013) Roberto García et al.   FUEL

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

(2012) Daya Ram Nhuchhen et al.   FUEL