Neuro-ensemble for air quality prediction

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dc.contributor.authorBarai, Sudhir Kumar
dc.date.accessioned2021-11-27T04:13:10Z
dc.date.available2021-11-27T04:13:10Z
dc.date.issued2002
dc.description.abstractThe present study investig; ttes the advantage of ensemble of neural networks (Haykin, 2000) for forecasting the air pollution. The aim is to find accurate air quality predictors, which can work with low number of data sets and should be robust enough to handle data with noise and errorsen_US
dc.identifier.urihttps://repository.lboro.ac.uk/articles/Neuro-ensemble_for_air_quality_prediction/9588167/files/17227241.pdf
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/3661
dc.language.isoenen_US
dc.publisherLoughborough Universityen_US
dc.subjectCivil Engineeringen_US
dc.subjectAir pollutantsen_US
dc.subjectAir Qualityen_US
dc.titleNeuro-ensemble for air quality predictionen_US
dc.typeOtheren_US

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