Prediction of the karstic spring flow rates under climate change by climatic variables based on the artificial neural network: a case study of Iran
Crossref DOI link: https://doi.org/10.1007/s10661-020-08332-z
Published Online: 2020-05-16
Published Print: 2020-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zeydalinejad, Nejat
Nassery, Hamid Reza
Shakiba, Alireza
Alijani, Farshad
Text and Data Mining valid from 2020-05-16
Version of Record valid from 2020-05-16
Article History
Received: 12 November 2019
Accepted: 29 April 2020
First Online: 16 May 2020