Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

Author:

Abba S.I.ORCID,Hadi Sinan JasimORCID,Sammen Saad Sh.,Salih Sinan Q.,Abdulkadir R.A.,Pham Quoc BaoORCID,Yaseen Zaher MundherORCID

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference75 articles.

1. Effluent prediction of chemical oxygen demand from the wastewater treatment plant using artificial neural network application;Abba;Proc. Comput. Sci.,2017

2. Modelling of Uncertain System: A comparison study of Linear and Non-Linear Approaches;Abba,2019

3. Abbasi, S.A., 2002. Water Quality Indices. State of the Art Report, National Institute of Hydrology, Scientific Contribution No. INCOH/SAR-25/2002, Roorkee: INCOH, 73.

4. An Enhanced Version of Black Hole Algorithm Via Levy Flight for Optimization and Data Clustering Problems;Abdulwahab,2019

5. Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran;Barzegar;Stochast. Environ. Res. Risk Assess.,2016

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