Browsing by Author "Koc, Mehmet Levent"
Now showing items 1-9 of 9
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Fuzzy viscometric analysis of polymer-polymer miscibility based on fuzzy regression
Koc, Dilek Imren; Koc, Mehmet Levent (ELSEVIER SCIENCE BV, 2016)This study investigates the application of fuzzy regression to the viscometric analysis of polymer-polymer miscibility by using experimental viscosity data for polystyrene (PS), poly(styrene-co-acrylonitrile) (PSAN) and ... -
Genetic algorithms based logic-driven fuzzy neural networks for stability assessment of rubble-mound breakwaters
Koc, Mehmet Levent; Balas, Can Elmar (ELSEVIER SCI LTD, 2012)This study focuses on the further development of fuzzy neural network ('FNN') models for the prediction of stability numbers for the design of rubble mound breakwaters. It introduces two new FNN models namely: (i) the ... -
A genetic programming-based QSPR model for predicting solubility parameters of polymers
Koc, Dilek Imren; Koc, Mehmet Levent (ELSEVIER SCIENCE BV, 2015)In this study, linear and nonlinear quantitative structure-property relationship (QSPR) models, respectively called the multiple linear regression based QSPR (MLR-QSPR) model and the genetic programming based QSPR (GP-QSPR) ... -
Prediction of miscibility of sodium alginate/poly(ethylene glycol) blends by fuzzy systems
Koc, Dilek Imren; Ergun, Nisa Ozel; Koc, Mehmet Levent (GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2019)In this study, Mamdani and Sugeno type fuzzy systems based on fuzzified interaction parameters (alpha and beta) are employed to predict the miscibility of sodium alginate/poly (ethylene glycol) blends in solution phase. ... -
Prediction of the pH and the temperature-dependent swelling behavior of Ca2+-alginate hydrogels by artificial neural networks
Koc, Mehmet Levent; Oezdemir, Uelkue; Imren, Dilek (PERGAMON-ELSEVIER SCIENCE LTD, 2008)This paper considers the possibility of using artificial neural network models to identify model for swelling behavior as new techniques. Multi-layer feed-forward, radial basis function and generalized regression neural ... -
Reliability analysis of a rubble mound breakwater using the theory of fuzzy random variables
Koc, Mehmet Levent; Balas, Can Elmar (ELSEVIER SCI LTD, 2013)This study investigates the possibility of applying the theory of fuzzy random variables through the fuzzy Monte Carlo simulation approach for the reliability-based risk analysis of a rubble-mound breakwater. The results ... -
Risk assessment of a vertical breakwater using possibility and evidence theories
Koc, Mehmet Levent (PERGAMON-ELSEVIER SCIENCE LTD, 2009)This paper proposes a preliminary investigation of possibility and evidence theories in a risk analysis of a vertical breakwater. The results obtained from both theories are presented and compared to the Monte Carlo ... -
Stability assessment of rubble-mound breakwaters using genetic programming
Koc, Mehmet Levent; Balas, Can Elmar; Koc, Dilek Imren (PERGAMON-ELSEVIER SCIENCE LTD, 2016)This study investigates the possibility of applying genetic programming to the stability assessment of rubble-mound breakwaters. The genetic programming algorithm is employed to develop various explicit models to predict ...