A survey on river water quality modelling using artificial intelligence models: 2000–2020

Author:

Tiyasha ORCID,Tung Tran Minh,Yaseen Zaher MundherORCID

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference375 articles.

1. River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques;Abba;Procedia Comput. Sci.,2018

2. Abbass, H.A., 2001. MBO: marriage in honey bees optimization-A haplometrosis polygynous swarming approach, in: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No. 01TH8546). IEEE, pp. 207–214.

3. Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation;Abdulelah Al-Sudani;J. Hydrol.,2019

4. Water quality prediction model based support vector machine model for ungauged river catchment under dual scenarios;Abobakr Yahya;Water,2019

5. Assessment of input data selection methods for BOD simulation using data-driven models: a case study;Ahmadi;Environ. Monit. Assess.,2018

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