scientific article

DOI10.3969/J.ISSN.1001-4616.2019.03.005zbMATH Open1449.62263MaRDI QIDQ3306697

Author name not available (Why is that?)

Publication date: 12 August 2020

Title of this publication is not available (Why is that?)

zbMATH Keywords

machine learningdeep learningconvolutional neural networklong short term memoryforecast for PM2.5 concentration

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to environmental and related topics (62P12) Learning and adaptive systems in artificial intelligence (68T05) Meteorology and atmospheric physics (86A10) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (2)

Prediction algorithm of PM2.5 mass concentration based on adaptive BP neural network ⋮ Title not available (Why is that?)

Recommendations

• Using deep learning to extend the range of air pollution monitoring and forecasting 👍 👎
• Hourly pollutants forecasting using a deep learning approach to obtain the AQI 👍 👎
• Title not available (Why is that?) 👍 👎

This page was built for publication:

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q3306697)