Multiple regression and genetic programming for coal higher heating value estimation

Statistical properties of the fuzzy p-value

(2018) Olgierd Hryniewicz   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Prediction of geomechanical parameters using soft computing and multiple regression approach

(2017) Rajesh Singh et al.   MEASUREMENT

Higher heating value determination of wheat straw from Baja California, Mexico

(2016) Gisela Montero et al.   ENERGY

Energy futures, state planning policies and coal mine contests in rural New South Wales

(2016) Linda H. Connor   ENERGY POLICY

Estimation of coal gross calorific value based on various analyses by random forest method

(2016) S.S. Matin et al.   FUEL

Parametric identification and structure searching for underwater vehicle model using symbolic regression

(2016) Nai-Long Wu et al.   JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques

(2016) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

(2013) Roberto García et al.   FUEL

Explaining the relationship between common coal analyses and Afghan coal parameters using statistical modeling methods

(2012) S. Chehreh Chelgani et al.   FUEL PROCESSING TECHNOLOGY

A review of the mathematical models for predicting the heating value of biomass materials

(2012) J.M. Vargas-Moreno et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

On the Use of Conventional and Soft Computing Models for Prediction of Gross Calorific Value (GCV) of Coal

(2011) Nazan Yalçin Erik et al.   International Journal of Coal Preparation and Utilization

Greenhouse crop residues: Energy potential and models for the prediction of their higher heating value

(2010) A.J. Callejón-Ferre et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS