... neural network SDI soft computing approach machine learning fuzzy logic durability index Ahmad aggregate impact value equation regression analysis procedia engineering 191 ACV multiple regression Upstream Oil & Gas PLI prediction independent variable Singh Procedia Engineering...

... elasticity machine learning fuzzy logic input parameter procedia engineering 191 dry density correlation uniaxial compressive strength genetic algorithm expression programming Gene Expression Programming equation gep method Reservoir Characterization Upstream Oil & Gas behnia algorithm...

... rock masses. For the strength of jointed rock masses, however, "further work is required to develop more precise, practical, and easy-to-use methods for determining the rock mass strength" (Edelbro et al. 2006). fuzzy logic rock mass strength uniaxial compressive strength strength...

... and theoretical investigation. Database processing involved conventional mathematical and statistical methods, as well as the alternative methods, such as means of artificial intelligence. machine learning fuzzy logic reservoir geomechanics relation strength Artificial Intelligence specific energy...

... strength data anfis model inference system fuzzy logic Schmidt number best parameter Schmidt Hammer Anfis Upstream Oil & Gas assessment excavation EDZ ABSTRACT: The development of an excavation damaged zone around an underground excavation can change the physical, mechanical...

... set. The results are vastly promising. A comparative analysis proves that the adaptive neuro fuzzy inference system outperforms conventional methods. Upstream Oil & Gas adaptive neuro fuzzy inference system fuzzy logic adaptive neuro-fuzzy inference system anfis model coefficient...

.... This classification was first applied to a real case study, the system of galleries for high-speed trains construction between Bologna and Florence, Italy. To develop the Favourability Functions models, the Bayes theorem and the Fuzzy Logic were used, which are well adaptable to a predicting study. To process...

... the correlation between desired parameters that it is possible to achieve nearly same result by using fuzzy model but in fuzzy domain. 2. FUZZY LOGIC AND SETS After proposing fuzzy logic by Zadeh (1965), many scientific researches should have been checked especially for having uncertain data and linguistic...

... Artificial Intelligence fuzzy logic reserves evaluation calculation reservoir geomechanics Upstream Oil & Gas rock slope interval analysis shear strength safety input parameter procedure different level friction angle Reservoir Characterization operation membership function uncertain...

... Artificial Intelligence strength rock fragmentation fuzzy logic rock destruction Efficiency Upstream Oil & Gas heterogeneity rock strength damage evolution fuzzy set constituent Drilling mechanics fuzzy damage parameter damage parameter membership function destruction...

... joints physical and numerical models were investigated. As it is impossible to explore rock mass structure on the whole (number and width of joints, gouges, rock material behaviour etc.), it is not possible to dimension grouting processes in a classical sense. A Fuzzy Logic procedure is used to determine...