Computational Modeling of Transport in Porous Media Using an Adaptive Network-Based Fuzzy Inference System
Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian
Abstract
"-type MF. At this condition, the regression number is close to 1.
Topics & Concepts
Adaptive neuro fuzzy inference systemComputational fluid dynamicsFluentArtificial neural networkComputational intelligenceProcess (computing)Computer scienceFluid dynamicsFuzzy logicMechanical engineeringArtificial intelligenceMechanicsEngineeringFuzzy control systemPhysicsOperating systemHeat and Mass Transfer in Porous MediaEnhanced Oil Recovery TechniquesLattice Boltzmann Simulation Studies