---
id: 20260515-T0-13
title: "OceanCBM：用概念瓶颈模型解释海洋预测的物理机制"
title_en: "OceanCBM Model Explains Ocean Forecasting Physics"
url: https://ai.daily.yangsir.net/daily/20260515-T0-13
issue_date: 2026-05-15
publish_date: 2026-05-14T04:00:00.000Z
category: research
source_name: "arXiv cs.LG (ML)"
source_url: https://arxiv.org/abs/2605.12639
---

# OceanCBM：用概念瓶颈模型解释海洋预测的物理机制

海洋极端现象预测虽准但难诊断。最新研究提出OceanCBM模型，通过概念瓶颈机制揭示物理驱动因素，解决了机器学习预测不透明的问题。arXiv论文2605.12639v1提出此方法，可提升海洋预报可解释性，帮助科学家理解气候异常成因。

## English Version

**OceanCBM Model Explains Ocean Forecasting Physics**

Ocean forecasts are accurate but lack explainability. OceanCBM model uses concept bottleneck mechanisms to reveal physical drivers, addressing opacity in ML predictions. Published in arXiv:2605.12639v1, this method improves interpretability of ocean forecasts, helping scientists understand climate anomalies.

---

**来源**：[arXiv cs.LG (ML)](https://arxiv.org/abs/2605.12639)

**详情页**：https://ai.daily.yangsir.net/daily/20260515-T0-13

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*