Efficiency of River Flow Prediction in River Using Wavelet-CANFIS: A Case Study-Reference-Cited by-同舟云学术

Efficiency of River Flow Prediction in River Using Wavelet-CANFIS: A Case Study

Published:2020-08-30 Issue: Volume: Page:435-443
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Mohanta Nihar Ranjan,Patel Niharika,Beck Kamaldeep,Samantaray Sandeep,Sahoo Abinash

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5679-1_41

Reference16 articles.

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2. Rathod, T., Singh, V.: Rainfall prediction using co-active neuro fuzzy inference system for Umargaon watershed Nagpur India. J. Pharmacogn. Phytochem. 7(5), 658–662 (2018)

3. Malik, A., Kumar, A.: Comparison of soft-computing and statistical techniques in simulating daily river flow: a case study in India. J. Soil Water Conserv. 17(2), 192–199 (2018)

4. Abghari, H., Ahmadi, H.: Prediction of daily pan evaporation using wavelet neural networks. Water Resour. Manag. 26(12), 3639–3652 (2012)

5. Gholami, V., Khaleghi, M.R.: A method of groundwater quality assessment based on fuzzy network-CANFIS and geographic information system (GIS). Appl. Water Sci. 7(7), 3633–3647 (2016)

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