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基于大型语言模型的废水中UV-NIR光谱数据的信息提取

Jiheng Liang1, Xiangyang Yu2, Weibin Hong3

  • 1Department of Physics, State Key Laboratory of Optoelectronic Materials and Technologies, Sun Yat-sen University, Guangzhou 510275, China.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|May 21, 2024
PubMed
概括

大型语言模型 (LLM) 在紫外线和近红外线 (UV-NIR) 光谱分析中显示出有前途的可能性,用于预测化学氧气需求 (COD). 在复杂的废水分析中,LLM为传统机器学习提供了更简单,更快的替代方案,实现了卓越的结果.

关键词:
废水中的COD废水中的COD.在上下文学习学习.大型语言模型机器学习 机器学习紫外线和近红外光谱分析.

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