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"Improving the accuracy of a flood forecasting model by means of machine ..."

Gustavo Furquim et al. (2016)

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DOI: 10.1007/S00521-015-1930-Z

access: closed

type: Journal Article

metadata version: 2022-12-07

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  - https://dblp.org/rec/journals/nca/FurquimPFMU16
Gustavo Furquim, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama:
Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory - A case study involving a real wireless sensor network deployment in Brazil. Neural Comput. Appl. 27(5): 1129-1141 (2016)

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