Water quality modelling using artificial neural network and multivariate statistical techniques
dc.contributor.author | Hamza Ahmad Isiyaka | |
dc.contributor.author | Adamu Mustapha | |
dc.contributor.author | Hafizan Juahir | |
dc.contributor.author | Philip Phil-Eze | |
dc.coverage.publication | Malaysia | |
dc.date.accessioned | 2024-05-20T07:04:27Z | |
dc.date.available | 2024-05-20T07:04:27Z | |
dc.date.issued | 2018 | |
dc.description.abstract | This study investigates and proposes a reduction in the number of water quality monitoring stations, parameters and develops the best input combination for water quality modelling using artificial neural network and multivariate statistical technique. | |
dc.identifier.citation | Isiyaka, H. A., Mustapha, A., Juahir, H., & Phil-Eze, P. (2018). Water quality modelling using artificial neural network and multivariate statistical techniques. Modeling Earth Systems and Environment, 5, 583-593. | |
dc.identifier.uri | https://repoemc.ukm.my/handle/123456789/1507 | |
dc.language.iso | en | |
dc.publisher | Springer | |
dc.publisher.alternative | Modeling Earth Systems and Environment | |
dc.subject | Artificial neural network | |
dc.subject | Cluster analysis | |
dc.subject | Multivariate statistical technique | |
dc.subject | Principal component analysis | |
dc.subject | Sensitivity analysis | |
dc.subject | Water quality | |
dc.title | Water quality modelling using artificial neural network and multivariate statistical techniques | |
dc.type | Journal |
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