Practice of Physics-Informed Neural Networks in Option Pricing: Integrating the Black-Scholes Partial Differential Equation into Deep Learning

Introduction / Main Floor: Practice of Physics-Informed Neural Networks in Option Pricing: Integrating the Black-Scholes Partial Differential Equation into Deep Learning

Explore how to combine the classic Black-Scholes-Merton partial differential equation with neural networks to build Physics-Informed Neural Networks (PINN) for option pricing prediction, achieving deep integration of financial theory and machine learning.