Three improved neural network models for air quality forecasting
W Wang, Z Xu, J Weizhen Lu - Engineering Computations, 2003 - emerald.com
Artificial neural networks (ANN) are appearing as alternatives to traditional statistical
modeling techniques in many scientific disciplines. However, the inherent drawbacks of …
modeling techniques in many scientific disciplines. However, the inherent drawbacks of …
Analysis of pollutant levels in central Hong Kong applying neural network method with particle swarm optimization
Air pollution has emerged as an imminent issue in modernsociety. Prediction of pollutant
levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch …
levels is an importantresearch topic in atmospheric environment today. For fulfillingsuch …
Using Improved Neural Network Model to Analyze RSP, NOx and NO2 Levels in Urban Air in Mong Kok, Hong Kong
As the health impact of air pollutants existing in ambient addresses much attention in recent
years, forecasting of airpollutant parameters becomes an important and popular topic …
years, forecasting of airpollutant parameters becomes an important and popular topic …
Prediction of pollutant levels in causeway bay area of Hong Kong using an improved neural network model
The prediction of air quality parameters is of great interest in environmental studies today
due to the health impact caused by airborne pollutants [eg, sulfur dioxide (SO 2); nitrogen …
due to the health impact caused by airborne pollutants [eg, sulfur dioxide (SO 2); nitrogen …
Self organizing ozone model for Empty Quarter of Saudi Arabia: Group method data handling based modeling approach
In arid regions primary pollutants contribute to the increase of ozone levels, which cause
negative effects on biotic health. This study investigates the use of abductive networks …
negative effects on biotic health. This study investigates the use of abductive networks …
Applying neural network with particle swarm optimization for energy requirement prediction
J Chang, X Xu - 2008 7th World Congress on Intelligent Control …, 2008 - ieeexplore.ieee.org
Prediction of energy requirement is an important research topic. For fulfilling such prediction,
neural network (NN) has testified to be a cost-effective technique superior to traditional …
neural network (NN) has testified to be a cost-effective technique superior to traditional …
Pollution modelling for Hong Kong downtown area using principal component analysis and artificial neural networks
Modeling of the pollutants' concentrations comprises an important part in the field of
atmospheric environment research. Neural network modeling is regarded as a reliable and …
atmospheric environment research. Neural network modeling is regarded as a reliable and …
Prediction of respirable suspended particulate level in Hong Kong downtown area using principal component analysis and artificial neural networks
Modeling of the pollutant concentrations is an important part in the field of atmospheric
environment research. Neural network modeling is regarded as a reliable and cost-effective …
environment research. Neural network modeling is regarded as a reliable and cost-effective …