Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification-Reference-Cited by-同舟云学术

Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification

Published:2011-04 Issue:11 Volume:45 Page:1979-1985
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Feng Yu,Zhang Wenfang,Sun Dezhi,Zhang Liqiu

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference26 articles.

1. Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations;Abdul-Wahab;Environmental Modeling & Software,2005

2. Emission and dispersion modeling of Lisbon air quality at local scale;Borrego;Atmospheric Environment,2003

3. Comparative assessment of neural networks and regression models for forecasting summer time ozone in Athens;Chaloulakou;Science of the Total Environment,2003

4. Evaluation of natural computation techniques in the modeling and optimization of a sequential injection flow system for colorimetric iron (III) determination;de Gracia;Analytica Chimica Acta,1997

5. Neural Network Toolbox User’s Guide, Ver. 4;Demuth,2005

Cited by 119 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transforming air pollution management in India with AI and machine learning technologies;Scientific Reports;2024-09-02

2. Air Pollution Detection in Covid-19 Ward: An Artificial Intelligence Approach;Green Industrial Applications of Artificial Intelligence and Internet of Things;2024-07-21

3. HDLP: air quality modeling with hybrid deep learning approaches and particle swam optimization;Innovations in Systems and Software Engineering;2024-05-31

4. Prediction of air pollutant concentrations based on the long short-term memory neural network;Journal of Hazardous Materials;2024-03

5. Recurrent Neural Network-Based Solar Power Generation Forecasting Model in Comparison with ANN;Lecture Notes in Electrical Engineering;2024