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Application of artificial neural networks for hydrological modelling in Karst

Miljan Kovačević / Nenad Ivanišević / Tina Dašić / Ljubo Marković

The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural network, radial basis function neural network, support vector machines for regression (SVR), and adaptive neuro fuzzy inference system (ANFIS). The results show that the ANFIS model outperforms other algorithms when the root mean square error and mean absolute error are used as quality indicators.

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Application of artificial neural networks for hydrological modelling in Karst

Miljan Kovačević / Nenad Ivanišević / Tina Dašić / Ljubo Marković

The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural network, radial basis function neural network, support vector machines for regression (SVR), and adaptive neuro fuzzy inference system (ANFIS). The results show that the ANFIS model outperforms other algorithms when the root mean square error and mean absolute error are used as quality indicators.

Application of artificial neural networks for hydrological modelling in Karst

Miljan Kovačević / Nenad Ivanišević / Tina Dašić / Ljubo Marković

The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural network, radial basis function neural network, support vector machines for regression (SVR), and adaptive neuro fuzzy inference system (ANFIS). The results show that the ANFIS model outperforms other algorithms when the root mean square error and mean absolute error are used as quality indicators.

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Title:

Application of artificial neural networks for hydrological modelling in Karst

Contributors:

Miljan Kovačević (author) / Nenad Ivanišević (author) / Tina Dašić (author) / Ljubo Marković (author)

Published in:

Građevinar, Vol 70, Iss 01., Pp 1-10 (2018)

Publication date:

2018

ISSN:

0350-2465 , 1333-9095

DOI:

https://doi.org/10.14256/JCE.1594.2016

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

Unknown

Keywords:

Engineering (General). Civil engineering (General) , TA1-2040

Metadata by DOAJ is licensed under CC BY-SA 1.0

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