Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems – The Case of Pardubice Microregion-Reference-Cited by-同舟云学术

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Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems – The Case of Pardubice Microregion

Published:2013 Issue: Volume: Page:302-312
ISSN:1865-0929
Container-title:Engineering Applications of Neural Networks
language:
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Author:

Hájek Petr,Olej Vladimír

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-41013-0_31

Reference27 articles.

1. Elshout, S., Leger, K., et al.: Comparing Urban Air Quality in Europe in Real Time – A Review of Existing Air Quality Indices and the Proposal of a Common Alternative. Environment International 34(5), 720–726 (2008)

2. Environmental Protection Agency, Guideline for Reporting of Daily Air Quality – Air Quality Index, US Environmental Protection Agency (1999)

3. Murena, F.: Measuring Air Quality over Large Urban Areas: Development and Application of an Air Pollution Index at the Urban Area of Naples. Atmospheric Environment 38, 6195–6202 (2004)

4. Cheng, W., Kuo, Y., et al.: Revised Air Quality Index Derived from an Entropy Function. Atmospheric Environment 38, 383–391 (2004)

5. Kyle, A.D., Woodruff, T.J., et al.: Use of an Index to Reflect the Aggregate Burden of Long-term Exposure to Criteria Air Pollutants in the United States. Environmental Health Perspectives 110, 95–102 (2002)

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1. Integrated Dual LSTM Model-Based Air Quality Prediction;International Conference on Innovative Computing and Communications;2023-10-26

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