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 - researchr publication authors

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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 Computing and Applications, 27(5):1129-1141, 2016. [doi]

This author has not been identified. Look up 'Gustavo Furquim' in GoogleThis author has not been identified. Look up 'Gustavo Pessin' in GoogleThis author has not been identified. Look up 'Bruno S. Faiçal' in GoogleThis author has not been identified. Look up 'Eduardo M. Mendiondo' in GoogleThis author has not been identified. Look up 'Jó Ueyama' in Google

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