Prediction of coal grindability based on petrography, proximate and ultimate analysis using multiple regression and artificial neural network models

[1]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[2]  A. M. Graese,et al.  Influence of microlithotype composition on hardgrove grindability for selected eastern Kentucky coals , 1987 .

[3]  M. Kramer Nonlinear principal component analysis using autoassociative neural networks , 1991 .

[4]  Mark A. Kramer,et al.  Autoassociative neural networks , 1992 .

[5]  Gw Barton,et al.  Modelling and Control Using Neural Networks , 1992 .

[6]  Thomas J. McAvoy,et al.  Nonlinear PLS Modeling Using Neural Networks , 1992 .

[7]  T. McAvoy,et al.  Nonlinear principal component analysis—Based on principal curves and neural networks , 1996 .

[8]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[9]  J. Hower Interrelationship of coal grinding properties and coal petrology , 1998 .

[10]  A. Sengupta,et al.  An assessment of grindability index of coal , 2002 .

[11]  James C. Hower,et al.  Studies of the relationship between coal petrology and grinding properties , 2003 .

[12]  Hari B. Vuthaluru,et al.  Effects of moisture and coal blending on Hardgrove Grindability Index of Western Australian coal , 2003 .

[13]  Suphi Ural,et al.  Studies of the relationship between mineral matter and grinding properties for low-rank coals , 2004 .

[14]  Moses O. Tadé,et al.  Artificial neural network-based prediction of hydrogen content of coal in power station boilers , 2005 .

[15]  Li Peisheng,et al.  Prediction of grindability with multivariable regression and neural network in Chinese coal , 2005 .

[16]  James C. Hower,et al.  Discussion: Li et al., Prediction of grindability with multivariable regression and neural network in Chinese coal , 2006 .

[17]  Sanjeev S. Tambe,et al.  Estimation of gross calorific value of coals using artificial neural networks , 2007 .

[18]  James C. Hower,et al.  Studies of the relationship between petrography and grindability for Kentucky coals using artificial neural network , 2008 .