Table of Contents
Journal of Fuels
Volume 2014 (2014), Article ID 392698, 11 pages
http://dx.doi.org/10.1155/2014/392698
Research Article

Multivariable Regression and Adaptive Neurofuzzy Inference System Predictions of Ash Fusion Temperatures Using Ash Chemical Composition of US Coals

1Department of Mining Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
2Young Researchers and Elites Club, Tehran Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran

Received 12 September 2013; Accepted 16 April 2014; Published 22 May 2014

Academic Editor: Kaustubha Mohanty

Copyright © 2014 Shahab Karimi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Shahab Karimi, Esmaeil Jorjani, Saeed Chehreh Chelgani, and Shahin Mesroghli, “Multivariable Regression and Adaptive Neurofuzzy Inference System Predictions of Ash Fusion Temperatures Using Ash Chemical Composition of US Coals,” Journal of Fuels, vol. 2014, Article ID 392698, 11 pages, 2014. doi:10.1155/2014/392698