Cell by Cell Artificial Neural Networks Approach for Modelling Laminar Flow in Two-dimensional Domain

This research is motivated by the rapid growth of soft computing using artificial intelligence. Applying artificial neural networks in fluid mechanics are only effective for specific, predefined geometries without discretizations. Hence, a cell by cell new artificial neural networks approach is proposed to predict the characteristics of laminar flow in any arbitrary two-dimensional domain.