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Updated: Jan 10, 2026

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PMTE-LLM:一种基于LLM的时间序列预测方法,使用专业机制和培训经验.

Chengze Du1, Faming Gong1, Yuhao Zhou1

  • 1Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), 66 Changjiang Xi Lu, Huangdao District, Qingdao, Shandong, 266580, China.

Neural networks : the official journal of the International Neural Network Society
|November 29, 2025
PubMed
概括

本研究引入了一种使用大型语言模型 (LLM) 进行时间序列预测的新方法,该方法可以降低计算成本和内存使用量,同时提高准确性. PMTE-LLM方法增强了复杂数据模式的深度学习.

关键词:
混合建模混合建模大型语言模型.模型的压缩压缩.专业机制 专业机制时间序列预测时间序列预测

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