Search
CSV
RISAuto-Design of Neural Network–Based GAs for Manipulating the Khangiran Gas Refinery Sweetening Absorption Column Outputs
In this work, a new approach for the auto-design of neural networkbased
genetic algorithm (GA) has been adopted to manipulate the products of an
absorption column in the Khangiran gas refinery located in ...
Prediction of Thickness and Fouling Rate in Pulsating Flow Heat Exchangers, Using FLUENT Simulator
Heat exchangers are an important part of industrial processes as they handle a major portion of total energy consumption. Fouling could have serious impact on the performance of heat exchangers and hence affect the economic ...
Designing a neural network for closed thermosyphon with nanofluid using genetic algorithm
Heat transfer of silver/water nanofluid in a two-phase closed thermosyphon which is thermally enhanced by magnetic field has been predicted by optimized artificial Neural Network. Artificial neural network is a technique ...
Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid
In this study, experiments were performed by
six different volume fractions of Al2O3 nanoparticles in
distilled water. Then, actual nanofluid Nusslet number
compared by Adaptive neuro fuzzy inference ...