Development of an application to determine quality indexes in rivers through artificial neural networks applied to data from the Bogota river
2017 ◽
pp. 1041-1053
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Keyword(s):
The quality of water in a river is a factor that must be influenced by the system that surrounds it, in this work we try to determine through a historical set of measurements on the Bogota river between years 2008 to 2015 supplied by the Autonomous Regional Corporation of Cundinamarca (CAR). We want to know the variables with the greatest impact on changes in the water index of the ICA and with them to build a model using artificial neural networks to predict water quality indexes in any type of river in the same Bogota river.
2019 ◽
Keyword(s):
2021 ◽
Vol 9
(1)
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pp. 43-58
Keyword(s):
2017 ◽
Vol 7
(9)
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pp. 13
2020 ◽
Vol 612
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pp. 012028
2014 ◽
Vol 26
(3)
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pp. 245-253
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Keyword(s):
2019 ◽
Vol 32
(8)
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pp. 3957-3966
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