Estimation of Hardgrove grindability index of Turkish coals by neural networks

Ozbayoglu, Gulhan
Ozbayoglu, M. Evren
In this research, different techniques for the estimation of coal HGI values are studied. Data from 163 sub-bituminous coals from Turkey are used by featuring I I coal parameters, which include proximate analysis, group maceral analysis and rank. Nonlinear regression and neural network techniques are used for predicting the HGI values for the specified coal parameters. Results indicate that a hybrid network which is a combination of 4 separate neural networks gave the most accurate HGI prediction and all of the neural network models, outperformed non-linear regression in the estimation process.


Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway)
Erener, Arzu; Düzgün, Hafize Şebnem (Springer Science and Business Media LLC, 2010-03-01)
Statistical models are one of the most preferred methods among many landslide susceptibility assessment methods. As landslide occurrences and influencing factors have spatial variations, global models like neural network or logistic regression (LR) ignore spatial dependence or autocorrelation characteristics of data between the observations in susceptibility assessment. However, to assess the probability of landslide within a specified period of time and within a given area, it is important to understand th...
Isoconversional methods to determine the kinetics of crude oils - thermogravimetry approach
Kök, Mustafa Verşan; Nurgaliev, Danis K. (Elsevier BV, 2018-08-01)
In this research, kinetics of four crude oils from different origins are determined by iso-conversional methods using thermogravimetry data (TGA-DTG). The experiments were performed at three different heating rates (5-10-15 K/min) between 300 and 1200 K. Thermal characteristics of the crude oil samples such as, reaction intervals and corresponding peak and burn-out temperatures are also determined. Three different iso-conversional methods, known as Starink, Kissinger and Friedman are used in order to determ...
Electrochemical behaviour of chalcopyrite in the absence and presence of dithiophosphate
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Electrochemical behaviour of chalcopyrite was investigated in collectorless condition and in the presence of dithiophosphate (DTP), which is a selective collector for chalcopyrite, by cyclic voltammetry (CV) study. Diffuse Reflectance Infrared Fourier Transformation (DRIFT) spectroscopy was employed to identify surface species of DTP at chalcopyrite surface. CV tests established the certain degree of irreversibility in the absence of DTP possibly due to preferential dissolution of iron ions in slightly acid...
Estimation of permeability and rock mechanical properties of limestone reservoir rocks under stress conditions by strain gauge
Iscan, A. G.; Kök, Mustafa Verşan; Bagci, A. S. (Elsevier BV, 2006-08-01)
Petroleum engineering reservoir parameter calculations are generally performed in the absence of the overburden pressure effect. This leads to serious errors in further development of a hydrocarbon-bearing reservoir. Thus, measurements under stress conditions become important vitally. The objective is to correlate the overburden pressure and the permeability to see the overburden pressure effects on the permeability of Turkish southeastern limestone reservoir rock samples. Stress was applied to four represe...
An investigation of the relationship between compressive strength and dust generation potential of magnetite pellets
SİVRİKAYA, OSMAN; Arol, Ali İhsan (Elsevier BV, 2013-09-10)
Iron ore pellets should have sufficient mechanical strengths against degradation at all stages of pellet production in pelletizing plants. Besides the strength, pellets should have less dust emission during operation since the process efficiency and the pelletizing equipments are adversely affected by dust. Dust is also a problem for sintered (product) pellets since they abrade during transportation from pellet production site to the reduction facilities. Sufficient mechanical strength and low dust emission...
Citation Formats
G. Ozbayoglu, A. M. ÖZBAYOĞLU, and M. E. Ozbayoglu, “Estimation of Hardgrove grindability index of Turkish coals by neural networks,” INTERNATIONAL JOURNAL OF MINERAL PROCESSING, pp. 93–100, 2008, Accessed: 00, 2020. [Online]. Available: