Intelligent Computing of Levenberg-Marquard Technique Backpropagation Neural Networks for Numerical Treatment of Squeezing Nanofluid Flow between Two Circular Plates
Hakeem Ullah, Mehreen Fiza, Muhammad Asif Zahoor Raja, İmran Khan, Muhammad Shoaib, Seham M. Al‐Mekhlafi
Abstract
This study presents new techniques based on the artificial intelligence neural network with Levenberg-Marquardt Scheme with backpropagation (ANN-LMS). The boundary value problem BVP is obtained from the governing equations of the flow model. Along with ANN-LMS, the semianalytical method namely the optimal homotopy analysis method (OHAM) is used for validating the results. ANN-LMS optimized the absolute error and increased the accuracy of the solution. The effect of physical parameters is discussed with the help of plots and tables.
Topics & Concepts
BackpropagationArtificial neural networkLevenberg–Marquardt algorithmHomotopy analysis methodHomotopyFlow (mathematics)Scheme (mathematics)Boundary value problemBoundary (topology)MathematicsComputer scienceAlgorithmApplied mathematicsArtificial intelligenceMathematical analysisGeometryPure mathematicsNanofluid Flow and Heat TransferFluid Dynamics and Turbulent FlowsModel Reduction and Neural Networks