Bioinspired Neural Network for Simulation of Wave Propagation in Nonhomogeneous Media

In recent years, neural networks have been widely employed to address a variety of challenging issues. These include biomedicine, robotics, image processing, and many more fields. To solve issues in the physical world, differential equations are essential tools. This encourages scientists to explore different architectures of neural networks to solve systems of differential equations. Our paper explains the use of a bioinspired neural network as a solver for systems of differential equations. The neural network was designed according to the cerebellum's histology. Examples of wave propagation problems within computational simulations are given.