Application of artificial intelligence to estimate phycocyanin pigment concentration using water quality data: a comparative study
Crossref DOI link: https://doi.org/10.1007/s13201-019-1044-3
Published Online: 2019-09-30
Published Print: 2019-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Heddam, Salim http://orcid.org/0000-0002-8055-8463
Sanikhani, Hadi
Kisi, Ozgur
Text and Data Mining valid from 2019-09-30
Version of Record valid from 2019-09-30
Article History
Received: 28 October 2017
Accepted: 23 September 2019
First Online: 30 September 2019