A new PM <sub>2.5</sub> concentration forecasting system based on AdaBoost‐ensemble system with deep learning approach-Reference-Cited by-同舟云学术

A new PM _2.5 concentration forecasting system based on AdaBoost‐ensemble system with deep learning approach

Published:2022-07-28 Issue:1 Volume:42 Page:154-175
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Li Zhongfei¹²^ORCID,Gan Kai¹,Sun Shaolong³^ORCID,Wang Shouyang⁴⁵⁶

Affiliation:

1. School of Business Sun Yat‐sen University Guangzhou China

2. School of Business Southern University of Science and Technology Shenzhen China

3. School of Management Xi'an Jiaotong University Xi'an China

4. Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China

5. School of Economics and Management Chinese Academy of Sciences Beijing China

6. Center for Forecasting Science Chinese Academy of Sciences Beijing China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2883

Reference41 articles.

1. A comparison of AdaBoost algorithms for time series forecast combination

2. Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform

3. Clean air actions and health plans in China

4. Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model validation

5. Comparing Predictive Accuracy

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