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Items: 8

1.

Multi-objective evolutionary polynomial regression-based prediction of energy consumption probing.

Bonakdari H, Ebtehaj I, Akhbari A.

Water Sci Technol. 2017 Jun;75(12):2791-2799. doi: 10.2166/wst.2017.158.

PMID:
28659519
2.

An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers.

Ebtehaj I, Bonakdari H, Zaji AH.

Water Sci Technol. 2016;74(1):176-83. doi: 10.2166/wst.2016.174.

PMID:
27386995
3.

A support vector regression-firefly algorithm-based model for limiting velocity prediction in sewer pipes.

Ebtehaj I, Bonakdari H.

Water Sci Technol. 2016;73(9):2244-50. doi: 10.2166/wst.2016.064.

PMID:
27148727
4.
5.

Comparison of genetic algorithm and imperialist competitive algorithms in predicting bed load transport in clean pipe.

Ebtehaj I, Bonakdari H.

Water Sci Technol. 2014;70(10):1695-701. doi: 10.2166/wst.2014.434.

PMID:
25429460
6.

Establishment of relationship between mean and maximum velocities in narrow sewers.

Bonakdari H.

J Environ Manage. 2012 Dec 30;113:474-80. doi: 10.1016/j.jenvman.2012.10.016. Epub 2012 Oct 27.

PMID:
23107096
7.

Experiments and 3D simulations of flow structures in junctions and their influence on location of flowmeters.

Mignot E, Bonakdari H, Knothe P, Lipeme Kouyi G, Bessette A, Rivière N, Bertrand-Krajewski JL.

Water Sci Technol. 2012;66(6):1325-32. doi: 10.2166/wst.2012.319.

PMID:
22828313
8.

Response surface analysis of effects of hydraulic retention time and influent feed concentration on performance of an UASFF bioreactor.

Zinatizadeh AA, Pirsaheb M, Bonakdari H, Younesi H.

Waste Manag. 2010 Oct;30(10):1798-807. doi: 10.1016/j.wasman.2010.03.021. Epub 2010 Apr 18.

PMID:
20400281

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