使-.

Kyle Hayes1,2, Michael W Fouts2, Ali Baheri2

  • 1National Energy Technology Laboratory, Morgantown, WV, United States of America.

PloS one
|September 20, 2024
PubMed
概括

本研究介绍了一种新的可变选择方法,用于使用卡鲁宁-洛耶夫 (KL) 分解的可扩展高斯过程 (GPs). 该方法有效地识别了关键术语,为动态系统识别提供了具有竞争力的准确性和速度.

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