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Önder Çoban1, Musa Esit2, Sercan Yalçın3

  • 1Department of Computer Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey. onder.coban@atauni.edu.tr.

概括

本研究介绍了具有特征选择的机器学习 (ML) 模型,用于准确预测温度和蒸发的气候变化. 贝叶斯山脊回归器 (BRR) 模型实现了高精度,改善了使用更少特征的预测.

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