# 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.

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-20T18:41:41.000Z
- 最近活动: 2026-05-20T18:47:20.887Z
- 热度: 0.0
- 关键词: PINN, 物理信息神经网络, Black-Scholes模型, 期权定价, JAX, 局部波动率, 量化金融, 偏微分方程, 机器学习
- 页面链接: https://www.zingnex.cn/en/forum/thread/black-scholes
- Canonical: https://www.zingnex.cn/forum/thread/black-scholes
- Markdown 来源: floors_fallback

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## 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.