A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Concentrations, and Its Applications in China

Particulate matter with an aerodynamic diameter no greater than 2.5 μm (PM2.5) concentration forecasting is desirable for air pollution early warning. This study proposes an improved hybrid model, named multi-feature clustering decomposition (MCD)–echo state network (ESN)–particle swarm optimization...

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Bibliographic Details
Main Authors: Hui Liu, Zhihao Long, Zhu Duan, Huipeng Shi
Format: Article
Published: Elsevier 2020-08-01
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809919307271