Modeling and optimization by response surface methodology and neural network–genetic algorithm for decolorization of real textile dye effluent usingPleurotus ostreatus: a comparison study-Reference-Cited by-同舟云学术

Modeling and optimization by response surface methodology and neural network–genetic algorithm for decolorization of real textile dye effluent usingPleurotus ostreatus: a comparison study

Published:2015-06-19 Issue:28 Volume:57 Page:13005-13019
ISSN:1944-3994
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

Venkatesh Prabhu M.,Karthikeyan R.,Shanmugaprakash M.

Publisher

Informa UK Limited

Subject

Pollution,Ocean Engineering,Water Science and Technology

Link

http://www.tandfonline.com/doi/pdf/10.1080/19443994.2015.1059372

Reference42 articles.

1. Bioremoval of C.I. Basic Red 46 as an azo dye from contaminated water byLemna minorL.: Modeling of key factor by neural network

2. Optimization of Biosorption Conditions for Color Removal by Taguchi DOE Methodology

3. Determination of kinetic constants of hybrid textile wastewater treatment system

4. Application of watercress (Nasturtium officinale R. Br.) for biotreatment of a textile dye: Investigation of some physiological responses and effects of operational parameters

5. Rapid biodegradation and decolorization of Direct Orange 39 (Orange TGLL) by an isolated bacterium Pseudomonas aeruginosa strain BCH

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