Hyper Parameter Optimization of Stack LSTM Based Regression for PM 2.5 Data in Bangkok-Reference-Cited by-同舟云学术

Hyper Parameter Optimization of Stack LSTM Based Regression for PM 2.5 Data in Bangkok

Published:2022-05-19 Issue: Volume: Page:
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Container-title:2022 7th International Conference on Business and Industrial Research (ICBIR)
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Author:

Pattana-Anake Voravarun¹,Joseph Ferdin Joe John¹

Affiliation:

1. Thai-Nichi Institute of Technology,Thai-Nichi International College,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9786259/9786382/09786465.pdf?arnumber=9786465

Reference12 articles.

1. Thailand's air quality and situation reports;quality,2022

2. Neural network prediction model for fine particulate matter (PM2.5) on the US–Mexico border in El Paso (Texas) and Ciudad Juárez (Chihuahua)

3. Gate-variants of Gated Recurrent Unit (GRU) neural networks

4. Empirical Dominance of Features for Predictive Analytics of Particulate Matter Pollution in Thailand;john joseph;5th Thai-Nichi Inst Technol Acad Conf TNIAC 2019,2019

5. LSTM: A Search Space Odyssey

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