[GBM]

Jia-Ying Zhu1, Jun-Lin An1, Yue-Zheng Feng1

  • 1Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China.

概括

一个新的LightGBM模型准确地预测了南京的地面水平臭氧 (O3) 度,其性能优于其他方法. 这种先进的模型显示出高精度和效率,特别是在易受臭氧污染的高温条件下.

相关概念视频

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
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Boundary Layer Characteristics01:18

Boundary Layer Characteristics

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Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
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Variation of Atmospheric Pressure01:18

Variation of Atmospheric Pressure

Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
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