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A Hybrid Model for PM2.5 Concentration Forecasting Based on Neighbor Structural Information, a Case in North China

机译：基于邻居结构信息的PM2.5浓度预测混合模型，北方

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Ping Wang; Xuran He; Hongyinping Feng; Guisheng Zhang; Chenglu Rong;
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1. A hybrid-wavelet model applied for forecasting PM2.5 concentrations in Taiyuan city, China [J] . Ping Wang, Guisheng Zhang, Feng Chen, Atmospheric Pollution Research . 2019,第6期

机译：施用PM2.5浓度的混合小波模型，中国太原市浓度
2. Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China [J] . Hui Liu, Kairong Jin, Zhu Duan Atmospheric Pollution Research . 2019,第5期

机译：空气PM2.5使用新的混合造型方法浓度多步预测：中国四城市的比较案例
3. A novel hybrid-Garch model based on ARIMA and SVM for PM2.5 concentrations forecasting [J] . PingWang, HongZhang, ZuodongQin, Atmospheric Pollution Research . 2017,第5期

机译：基于ARIMA和SVM的混合Garch模型用于PM2.5浓度预测。
4. Improving the Accuracy of Forecasting PM2.5 Concentrations With Hybrid Neural Network Model [C] . Thanawut Thanavanich, Mayoon Yaibuates, Pheeradon Suchaya International Conference on Digital Arts, Media and Technology;ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering . 2021

机译：用混合神经网络模型提高预测PM2.5浓度的准确性
5. Comparison of Models for Predicting PM2.5 Concentration in Wuhan, China [D] . Chen, Xiaohe. 2018

机译：武汉预测PM2.5集中模型的比较
6. Application Study of Comprehensive Forecasting Model Based on Entropy Weighting Method on Trend of PM2.5 Concentration in Guangzhou China [O] . Dong-jun Liu, Li Li 2015

机译：基于熵权的综合预测模型在广州PM2.5浓度趋势中的应用研究
7. Application of a Hybrid Model Based on Echo State Network and Improved Particle Swarm Optimization in PM2.5 Concentration Forecasting: A Case Study of Beijing, China [O] . Xinghan Xu, Weijie Ren 2019

机译：混合模型在PM2.5浓度预测中基于回声状态网络及改进的粒子群优化的应用 - 以北京，中国的案例研究

A Hybrid Model for PM2.5 Concentration Forecasting Based on Neighbor Structural Information, a Case in North China

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