Predicting air quality using deep learning in Talca City, Chile
Predicting air quality using deep learning in Talca City, Chile
- Author(s): C.A. Astudillo ; L. González-Martínez ; E. Zapata-González
- DOI: 10.1049/cp.2019.0243
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- Author(s): C.A. Astudillo ; L. González-Martínez ; E. Zapata-González Source: 10th International Conference on Pattern Recognition Systems, 2019 p. 5 (24 – 29)
- Conference: 10th International Conference on Pattern Recognition Systems
- DOI: 10.1049/cp.2019.0243
- ISBN: 978-1-83953-108-8
- Location: Tours, France
- Conference date: 8-10 July 2019
- Format: PDF
Inspec keywords: neural nets; air pollution; learning (artificial intelligence); air quality; atmospheric composition
Subjects: Atmosphere (environmental science); Knowledge engineering techniques; Chemical composition and chemical interactions in the lower atmosphere; Other topics in statistics; Air quality and air pollution; Neural computing techniques; South America; Probability theory, stochastic processes, and statistics; Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research