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Updated: Jun 24, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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深度转移学习用于中国各地的PM2.5酸盐的时空映射:解决环境机器学习中的小数据挑战

Xi Zheng1, Haiyan Meng1, Zixiang Zhao2

  • 1College of Carbon Neutrality Future Technology, Sichuan University, Chengdu, Sichuan 610065, China; Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China.

Journal of hazardous materials
|April 9, 2025
PubMed
概括

转移学习有效地重建了中国的PM2.5酸盐度,尽管数据有限. 这种方法改善了空气质量建模,并确定了污染热点,有助于环境管理.

关键词:
空气质量 空气质量酸 (PM) 酸 (PM) 酸 (PM) 酸 (PM) 酸 (PM) 酸 (PM) 酸 (PM)小数据是小数据.时间空间分布的分布.转移学习转移学习

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相关概念视频

Linear Approximations01:23

Linear Approximations

For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...