Environmental factors as indicators of dissolved oxygen concentration and zooplankton abundance: Deep learning versus traditional regression approach
• The paper deals with two different water quality indicators for the Bakreswar reservoir. • The main indicators chosen here are dissolved oxygen and zooplankton abundance. • Artificial neural network modelling has been used to make predictions of DO and zooplankton abundance. • ANN are capable of a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Banerjee, Arnab [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Umfang: |
19 |
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| Übergeordnetes Werk: |
Enthalten in: The capacity for acute exercise to modulate emotional memories: A review of findings and mechanisms - Keyan, Dharani ELSEVIER, 2019, integrating monitoring, assessment and management, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:100 ; year:2019 ; pages:99-117 ; extent:19 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ecolind.2018.09.051 |
|---|
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ELV046105816 |
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| 520 | |a • The paper deals with two different water quality indicators for the Bakreswar reservoir. • The main indicators chosen here are dissolved oxygen and zooplankton abundance. • Artificial neural network modelling has been used to make predictions of DO and zooplankton abundance. • ANN are capable of accurately predicting the dependent variable based on predictor variables. • ANN modelling is better suited in the current scenario over traditional approaches like multiple regression. | ||
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Environmental factors as indicators of dissolved oxygen concentration and zooplankton abundance: Deep learning versus traditional regression approach |
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• The paper deals with two different water quality indicators for the Bakreswar reservoir. • The main indicators chosen here are dissolved oxygen and zooplankton abundance. • Artificial neural network modelling has been used to make predictions of DO and zooplankton abundance. • ANN are capable of accurately predicting the dependent variable based on predictor variables. • ANN modelling is better suited in the current scenario over traditional approaches like multiple regression. |
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• The paper deals with two different water quality indicators for the Bakreswar reservoir. • The main indicators chosen here are dissolved oxygen and zooplankton abundance. • Artificial neural network modelling has been used to make predictions of DO and zooplankton abundance. • ANN are capable of accurately predicting the dependent variable based on predictor variables. • ANN modelling is better suited in the current scenario over traditional approaches like multiple regression. |
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• The paper deals with two different water quality indicators for the Bakreswar reservoir. • The main indicators chosen here are dissolved oxygen and zooplankton abundance. • Artificial neural network modelling has been used to make predictions of DO and zooplankton abundance. • ANN are capable of accurately predicting the dependent variable based on predictor variables. • ANN modelling is better suited in the current scenario over traditional approaches like multiple regression. |
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