LBMNet for classification

Deep LBM-Based Neural Network is a physics-inspired deep learning architecture that replaces conventional convolutional operations with Lattice Boltzmann dynamics. By integrating streaming, collision, and moment computation into a hierarchical framework, the network efficiently learns multi-scale feature representations while maintaining high computational efficiency and interpretability for image classification tasks.