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Intelligent Data Analytics Approaches for Predicting Dissolved Oxygen Concentration in River: Extremely Randomized Tree Versus Random Forest, MLPNN and MLR

  • Heddam S
DOI: 10.1007/978-981-15-5772-9_5
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Abstract

This chapter designs intelligent data analytic approaches for predicting dissolved oxygen concentration in river utilizing extremely randomized tree versus random forest, MLPNN and MLR. Dissolved oxygen concentration (DO) in river, lake and stream can be measured...

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Heddam, S. (2021). Intelligent Data Analytics Approaches for Predicting Dissolved Oxygen Concentration in River: Extremely Randomized Tree Versus Random Forest, MLPNN and MLR (pp. 89–107). https://doi.org/10.1007/978-981-15-5772-9_5

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