Application of artificial neural networks for hydrological modelling in Karst

Građevinar

article

Miljan Kovačević¹  Nenad Ivanišević²  Tina Dašić²  Ljubo Marković¹ 

[1] University of Priština, Kosovska Mitrovica Faculty of Technical Sciences;University of Belgrade Faculty for Civil Engineering

关键词: artificial neural networks;    SVR;    ANFIS;    rainfall-runoff ratio in karst areas;   

DOI  :  10.14256/JCE.1594.2016

学科分类：社会科学、人文和艺术（综合）

来源: Hrvatsko Drustvo Gradevinskih Inzenjera

【 摘 要 】

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.

【 授权许可】

CC BY