Related references
Note: Only part of the references are listed.Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)
Isik Yilmaz
COMPUTERS & GEOSCIENCES (2009)
Estimation of gross calorific value based on coal analysis using regression and artificial neural networks
Sh. Mesroghli et al.
INTERNATIONAL JOURNAL OF COAL GEOLOGY (2009)
Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models
Isik Yilmaz et al.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)
Development of a new proximate analysis based correlation to predict calorific value of coal
A. K. Majumder et al.
FUEL (2008)
An Example of Artificial Neural Network (ANN) Application for Indirect Estimation of Rock Parameters
I. Yilmaz et al.
ROCK MECHANICS AND ROCK ENGINEERING (2008)
Estimation of gross calorific value of coals using artificial neural networks
Shagufta U. Patel et al.
FUEL (2007)
Indirect estimation of the swelling percent and a new classification of soils depending on liquid limit and cation exchange capacity
Isik Yilmaz
ENGINEERING GEOLOGY (2006)
A correlation for calculating HHV from proximate analysis of solid fuels
J Parikh et al.
FUEL (2005)
A unified correlation for estimating HHV of solid, liquid and gaseous fuels
SA Channiwala et al.
FUEL (2002)
Predicting heating values of lignocellulosics and carbonaceous materials from proximate analysis
T Cordero et al.
FUEL (2001)
Adaptive neuro-fuzzy inference system: An instant and architecture-free predictor for improved QSAR studies
YL Loukas
JOURNAL OF MEDICINAL CHEMISTRY (2001)
A rule based fuzzy model for the prediction of petrophysical rock parameters
J Finol et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2001)
Theoretical oxygen requirement for coal combustion: relationship with its calorific value
BK Mazumdar
FUEL (2000)
Share Paper
