Urban Water Flow and Water Level Prediction Based on Deep Learning

Author:

Assem Haytham,Ghariba Salem,Makrai Gabor,Johnston Paul,Gill Laurence,Pilla Francesco

Publisher

Springer International Publishing

Reference22 articles.

1. Beven, K.J., et al.: Streamflow Generation Processes. IAHS Press, Wallingford (2006)

2. Chattopadhyay, P.B., Rangarajan, R.: Application of ann in sketching spatial nonlinearity of unconfined aquifer in agricultural basin. Agric. Water Manag. 133, 81–91 (2014)

3. Daniell, T.: Neural networks. Applications in hydrology and water resources engineering. In: National Conference Publication - Institute of Engineers. Australia (1991)

4. Deka, P.C., et al.: Support vector machine applications in the field of hydrology: a review. Appl. Soft Comput. 19, 372–386 (2014)

5. Inverse Problems and Theoretical Imaging;P Dutilleux,1989

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