Identification of significant factors for air pollution levels using a neural network based knowledge discovery system-Reference-Cited by-同舟云学术

Identification of significant factors for air pollution levels using a neural network based knowledge discovery system

Published:2013-01 Issue: Volume:99 Page:564-569
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yan Chan Kit,Jian Le

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference45 articles.

1. A common framework for the unification of neural, chemometric and statistical modeling methods;Bakshi;Anal. Chim. Acta,1999

2. Diagnosis of hypoglycemic episodes using a neural network based rule discovery system;Chan;Expert Syst. Appl.,2011

3. Meteorological condition and atmospheric boundary layer influenced upon temporal concentrations of PM1, PM2.5 at a Coastal City, Korea for Yellow Sand Event from Gobi Desert;Choi;Disaster Adv.,2010

4. A comparison of nonlinear regression and neural network models for ground-level ozone forecasting;Cobourn;J. Air Waste Manage. Assoc.,2000

5. Spatial distribution of urban pollution: civilizing urban traffic;Croxford;Sci. Total Envir.,1996

Cited by 30 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. Neural embeddings of urban big data reveal spatial structures in cities;Humanities and Social Sciences Communications;2024-03-14

2. Identification of Compound in Wastewater using Artificial Neural Networks;2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA);2023-11-14

3. Sulfur dioxide emissions in Portugal: Prediction, estimation and air quality regulation using machine learning;Journal of Cleaner Production;2021-10

4. Air pollution prediction based on factory-aware attentional LSTM neural network;Computing;2020-11-02

5. Artificial neural network application for forecasting the nitrogen oxides in the atmosphere at the microclimate conditions: example of Iğdır city in Turkey.;International Journal of Agriculture, Environment and Food Sciences;2020-03-07