"Machine Learning Algorithms and Their Application to Ore Reserve Estimation of Sparse and Imprecise Data"
written by Sridhar Dutta, Sukumar Bandopadhyay, Rajive Ganguli, Debasmita Misra,
published by Journal of Intelligent Learning Systems and Applications, Vol.2 No.2, 2010
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] A review of soft computing application in mineral resources engineering
2018
[2] DIGITAL TWIN APPLICATIONS: DIAGNOSTICS, OPTIMISATION AND PREDICTION.
2018
[3] РАЗЛОЖЕНИЕ МОЩНОСТИ МНОЖЕСТВА СЛОЁВ С ЦИКЛАМИ В НЕЧЕТКОЙ LP-СТРУКТУРЕ
2018
[4] Investigation of general regression neural network architecture for grade estimation of an Indian iron ore deposit
Arabian Journal of Geosciences, 2017
[5] Proposing drilling locations based on the 3D modeling results of fluid inclusion data using the support vector regression method
Journal of Geochemical Exploration, 2016
[6] Integrating artificial neural networks and geostatistics for optimum 3D geological block modeling in mineral reserve estimation: A case study
International Journal of Mining Science and Technology, 2016
[7] Adapting Pattern Recognition Approach for Uncertainty Assessment in the Geologic Resource Estimation for Indian Iron Ore Mines
International conference on Signal Processing, Communication, Power and Embedded System (SCOPES), 2016
[8] Relevance vector machines approach for long-term flow prediction
Neural Computing and Applications, 2014
[9] مقایسه کارایی تخمین‌گرهای مبتنی بر هوش مصنوعی در تخمین عیار در کانسار مس پورفیری مسجد داغی‎
روش های تحلیلی و عددی در مهندسی معدن, 2014
[10] Modeling of tensile strength of rocks materials based on support vector machines approaches
International Journal for …, 2013
[11] Rainfall–runoff modeling using least squares support vector machines
Environmetrics, 2012
[12] Goodnews Bay Platinum Resource Estimation Using Least Squares Support Vector Regression with Selection of Input Space Dimension and Hyperparameters
Natural Resources Research, 2011
[13] Influence of powder, chemistry and intergranular phases on the wear resistance of liquid-phase-sintered Al2O3
2000