An Application of a PDE-Based Neural Network with Bayesian Optimization to Regression

Application of a PDE-based neural network for regression is proposed. After reviewing the effectiveness of our model, we first confirmed the nonuniform learnability of the model in regression task. Subsequently, we applied it to regression tasks using Bayesian optimization. Numerical experiments show that our model exhibits a performance comparable to that of existing models.