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Updated: May 7, 2026

Flow Cytometric Analysis of Particle-bound Bet v 1 Allergen in PM10
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Flow Cytometric Analysis of Particle-bound Bet v 1 Allergen in PM10

Published on: November 19, 2016

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改善了每日PM2.5度的预测模型,并优化了粒子群和BP神经网络

Zuhan Liu1, Yuanhao Hu2, Zihai Fang2

  • 1School of Information Engineering, Jiangxi University of Water Resources and Electric Power, 330099, Nanchang, China. lzh512@nit.edu.cn.

Scientific reports
|September 1, 2025
PubMed
概括

这项研究引入了一种改进的粒子群优化反向传播神经网络 (IPSO-BP) 模型,用于准确的PM2.5预测,这对于中国的城市空气质量管理至关重要. 这种新型模型通过优化初始参数来提高预测准确性,为雾污染挑战提供更稳定的解决方案.

关键词:
BP神经网络在 IPSO-BP预测PM2.5的情况粒子群的优化

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