Application of feedforward neural network in the study of dissociated gas flow along the porous wall

Shape optimization of impingement and film cooling holes on a flat plate using a feedforward ANN and GA

Numerical simulations of a three-dimensional model of impingement and film cooling on a flat plate are presented and validated with the available experimental data. Four different turbulence models were utilized for simulation, in which SST  had the highest precision, resulting in less than 4% maximum error in temperature estimation. A simplified geometry with periodic boundary conditions is de...

Neural-network Metamodelling for the Prediction of the Pressure Drop of a Fluid Passing through Metallic Porous Medium

The pressure drop across metallic porous medium is a critical element in cooling aerospace engineering application. This paper presents a metamodel based on artificial neural networks (ANN) for estimating the pressure drop through metallic porous media. The ANN is developed using experimental data obtained from an experimental bench, developed at PRISME laboratory, which ensure the monitoring o...

Application of Two Methods of Artificial Neural Network MLP, RBF for Estimation of Wind of Sediments (Case Study: Korsya of Darab Plain)

The lack of sediment gauging stations in the process of wind erosion, caused of estimate of sediment be process of necessary and important. Artificial neural networks can be used as an efficient and effective of tool to estimate and simulate sediments. In this paper two model multi-layer perceptron neural networks and radial neural network was used to estimate the amount of sediment in Korsya o...

Effects of chemical reaction, Heat and Mass transfer and radiation on MHD flow along a vertical porous wall in the present of induced magnetic field

A Comparative Study of the Neural Network, Fuzzy Logic, and Nero-fuzzy Systems in Seismic Reservoir Characterization: An Example from Arab (Surmeh) Reservoir as an Iranian Gas Field, Persian Gulf Basin

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...