Comparison sub-equation neural network method and neural network predictions method for the nonlinear systems in fluid and nuclear physics.
This study aims to compare the effectiveness of the sub-equation neural network method (SENNM) and the neural network predictions method (NNPM) for solving nonlinear systems commonly encountered in fluid dynamics and nuclear physics. The comparison focuses on accuracy, convergence behavior, training performance, and th...