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可以解释的气候预测深度强化学习与转移学习

Thulasi Bikku1, Ramadevi Chappala2, Angotu Nageswara Rao3

  • 1Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, 522503, India.

Environmental science and pollution research international
|October 23, 2025
PubMed
概括

本研究介绍了可解释强化气候建模框架 (ERCMF),用于准确和透明的气候预测. ERCMF集成人工智能技术,为气候科学家和政策制定者提供可靠的,适应性预测.

关键词:
人工智能 (AI) 是一种人工智能.气候建模的气候模型.深度强化学习 (DRL) 是一种深度强化学习.转移学习 (TL) 是指转移学习.

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