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Updated: Jun 4, 2025

Surrogate Model Development for Digital Experiments in Welding
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准牛顿优化的科尔摩戈罗夫-阿诺德网络用于风电场电力预测

Auwalu Saleh Mubarak1,2, Zubaida Said Ameen1,3, Sagiru Mati1,4

  • 1Operational Research Centre in Healthcare, Near East University, TRNC Mersin 10, Nicosia, 99138, Turkey.

Heliyon
|December 19, 2024
PubMed
概括

精确的风能预测对于智能电网至关重要. 科尔莫戈罗夫-阿诺德网络 (KAN) 与LBFGS优化相结合,在预测风电场发电量方面表现优于传统模型,提高了电网稳定性.

关键词:
这就是为什么KAN KAN KAN KAN.根据LBFGS的说法.在MLP中,MLP是MLP.可持续发展 可持续性 可持续性风 风 风 是 一个 风.

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