|Appears in Collections:||Management, Work and Organisation Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||The Evaluation of Empirical Coal Pillar Strength Formula Based on Uncertainty Criterion|
|Citation:||Hosseini N, Oraee B & Oraee K (2012) The Evaluation of Empirical Coal Pillar Strength Formula Based on Uncertainty Criterion, Barczak T, Opfer D, Caudill D, Peng SS, Tadolini S, Thompson M, Warnick B (ed.) 31st International Conference on Ground Control in Mining, 31st International Conference on Ground Control in Mining, Morgantown, West Virginia, USA, 31.7.2012 - 2.8.2012, Morgantown, West Virginia, USA: International Conference on Ground Control in Mining.|
|Conference Name:||31st International Conference on Ground Control in Mining|
|Conference Location:||Morgantown, West Virginia, USA|
|Abstract:||Several empirical equations to estimate coal pillar strength have been presented in academic studies. The development processes of these equations are similar and are usually obtained by fitting the mathematical function (curve) to field data. One of the best criteria to evaluate the quality of fitting for such equations is the correlation coefficient R2, which has limited applicability. It is necessary to calculate the correlation coefficient access to the initial data for which the equation is presented; this is impossible for many coal pillar strength formulas. This paper presents a new approach based on the analysis of uncertainty amplitude to compare the coal pillar strength. This approach utilizes a combination of parameters such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), function type and degrees of freedom. The confidence level of constants is subsequently formed and the correlation coefficient becomes more comprehensive. Therefore, for an effective comparison, the efficiency and accuracy of coal pillar strength formula can be used.|
|Status:||Publisher version (final published refereed version)|
|Rights:||Publisher has been informed of the use of this article in this repository.|
|Affiliation:||Islamic Azad University|
Imperial College London
Management Work and Organisation
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