The usability of Cerchar abrasivity index for the prediction of UCS and E of Misis Fault Breccia: regression and artificial neural networks analysis

S Kahraman, M Alber, M Fener, O Gunaydin - Expert Systems with …, 2010 - Elsevier
The derivation of some predictive models for the geomechanical properties of fault breccias
will be useful due to the fact that the preparation of smooth specimens from the fault breccias …

Evaluating the strength and deformability properties of Misis fault breccia using artificial neural networks

S Kahraman, O Gunaydin, M Alber, M Fener - Expert Systems with …, 2009 - Elsevier
Since the preparation of smooth specimens from the fault breccias are usually difficult and
expensive, the development of some predictive models for the geomechanical properties of …

Development of Prediction Model and Experimental Validation in Predicting the Curcumin Content of Turmeric (Curcuma longa L.)

A Akbar, A Kuanar, RK Joshi, IS Sandeep… - Frontiers in Plant …, 2016 - frontiersin.org
The drug yielding potential of turmeric (Curcuma longa L.) is largely due to the presence of
phyto-constituent 'curcumin.'Curcumin has been found to possess a myriad of therapeutic …

Estimating the penetration rate in diamond drilling in laboratory works using the regression and artificial neural network analysis

S Kahraman - Neural Processing Letters, 2016 - Springer
Diamond drilling has been widely used in the different civil engineering projects. The
prediction of penetration rate in the drilling is especially useful for the feasibility studies. In …

Implementing soft computing techniques to solve economic dispatch problem in power systems

H Altun, T Yalcinoz - Expert Systems with Applications, 2008 - Elsevier
Soft computing is the state-of-the-art approach to artificial intelligence and it has showed an
excellent performance in solving the combined optimization problems. In this paper, issues …

[HTML][HTML] Performance of artificial neural networks on kriging method in modeling local geoid

H Akcin, CT Celik - Boletim de Ciências Geodésicas, 2013 - SciELO Brasil
Transformation of ellipsoidal heights determined by satellite techniques into local leveling
heights requires geoid heights at points of interest. However, the geoid heights at each point …

The prediction of penetration rate for percussive drills from indirect tests using artificial neural networks

S Kahraman - Journal of the Southern African Institute of Mining and …, 2016 - scielo.org.za
Percussive drills are widely used in engineering projects such as mining and construction.
The prediction of penetration rates of drills by indirect methods is particularly useful for …

Complementary learning fuzzy neural network: an approach to imbalanced dataset

TZ Tan, GS Ng, C Quek - 2007 International Joint Conference …, 2007 - ieeexplore.ieee.org
Imbalanced dataset is a phenomenon seen in many real life applications, especially in
medical field. The conventional computational intelligence algorithms cannot effectively …

Comparison of artificial neural network and support vector machine classification methods in diagnosis of migraine by using EEG

SB Akben, A Subaşı, MK Kıymık - 2010 IEEE 18th Signal …, 2010 - ieeexplore.ieee.org
% 23 of human has a migraine disease which is a painful and throbbing brain disorders.
Cause of migraine isn't known and accepted automatic diagnose method of migraine by …

[PDF][PDF] Ranking water quality variables using feature selection algorithms to improve generalization capability of artificial neural networks

A Samandar - Scientific Research and Essays, 2010 - academicjournals.org
Artificial neural networks (ANNs) have been recently used intensively in the water resource
management and planning. As the demand on the clean water increases, the estimation of …