Neural Network Algorithm for a Gravity-Driven Fluid Flow

This article aims to find out the enhancement in the heat transfer rate. A mathematical model for the nanofluids flow over a starched surface is considered. The flow of the fluid is due to the convection force which is happening due to the vertical sheet. The artificial neural networking (ANN) strategy is used to solve a mathematical model for the hybrid nanofluids flow on an extending sheet. The sheet is extending and kept vertical, where the flow is due to the gravity force in the downward direction. The basic equations of the flow field are transformed from PDEs to ODEs using the proper transformations. To assess the performance of LMS-NNA (Least Mean Square Neural Network Algorithm), various statistical neural network tools are employed, such as mean square error, regression plots, curve fitting graphs, and error histograms