Deep Neural Networks with Spacetime RBF for Solving Forward and Inverse Problems in the Diffusion Process
This study introduces a deep neural network approach that utilizes radial basis functions (RBFs) to solve forward and inverse problems Phone Wallplates in the process of diffusion.The input layer incorporates multiquadric (MQ) RBFs, symbolizing the radial distance between the boundary points on the spacetime boundary and the source points positione