Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting Article Swipe

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Pu-Yun Kow , Yi-Shin Wang , Yanlai Zhou , I-Feng Kao , Maikel Issermann , Li‐Chiu Chang , Fi‐John Chang ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1016/j.jclepro.2020.121285

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Convolutional Neural Network

Computer Science

Backpropagation

Artificial Intelligence

Machine Learning

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Convolutional neural network Computer science Backpropagation Artificial intelligence Artificial neural network Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.jclepro.2020.121285
OA Status: green
Cited By: 93
References: 83
Related Works: 10
OpenAlex ID: https://openalex.org/W3013755684

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OpenAlex ID: https://openalex.org/W3013755684

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DOI: https://doi.org/10.1016/j.jclepro.2020.121285

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Title: Seamless integration of convolutional and back-propagation neural networks for regional multi-step-ahead PM2.5 forecasting

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-03-25

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Authors: Pu-Yun Kow, Yi-Shin Wang, Yanlai Zhou, I-Feng Kao, Maikel Issermann, Li‐Chiu Chang, Fi‐John Chang

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Landing page: https://doi.org/10.1016/j.jclepro.2020.121285

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Open access: Yes

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OA status: green

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OA URL: https://hdl.handle.net/10852/84054

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Concepts: Convolutional neural network, Computer science, Backpropagation, Artificial intelligence, Artificial neural network, Machine learning

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Cited by: 93

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Citations by year (recent): 2025: 12, 2024: 13, 2023: 19, 2022: 20, 2021: 21

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References (count): 83

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Related works (count): 10

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referenced_works_count	83
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