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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/3665
Title: Air Quality Forecaster: Moving Window Based Neuro Models
Authors: Barai, Sudhir Kumar
Keywords: Civil Engineering
Artificial neural networks
Moving window modeling
Forecasting
Maidstone
Issue Date: 2009
Publisher: Springer
Abstract: The present paper aims to demonstrate neural network based air quality forecaster, which can work with limited number of data sets and are robust enough to handle air pollutant concentrations data and meteorological data. Performance of neural network models is reported using novel approach of moving window concept for data modelling. The performance of model is checked with reference to other research work and found to be encouraging.
URI: http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3665
ISSN: https://link.springer.com/chapter/10.1007/978-3-540-88079-0_14
Appears in Collections:Department of Civil Engineering

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