利用混合元启发式和机器学习模型优化PM2.5预测准确性

Jul, 2024

利用混合元启发式和机器学习模型优化PM2.5预测准确性

Optimizing PM2.5 Forecasting Accuracy with Hybrid Meta-Heuristic and Machine Learning Models

Parviz Ghafariasl, Masoomeh Zeinalnezhad, Amir Ahmadishokooh

TL;DR使用支持向量回归（SVR）方法，结合灰狼优化（GWO）和粒子群优化（PSO）算法来预测每小时PM2.5浓度，得到了可靠和准确的模型，适用于类似的研究应用。

Abstract

Timely alerts about hazardous air pollutants are crucial for public health. However, existing forecasting models often overlook key factors like baseline parameters and missing data, limiting their accuracy. This