Deep Random Subspace Learning: A Spatial-Temporal Modeling Approach for Air Quality Prediction
نویسندگان
چکیده
منابع مشابه
Machine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
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ژورنال
عنوان ژورنال: Atmosphere
سال: 2019
ISSN: 2073-4433
DOI: 10.3390/atmos10090560