Cargando…
An artificial neural network combined with response surface methodology approach for modelling and optimization of the electro-coagulation for cationic dye
An artificial neural network (ANN) approach with response surface methodology (RSM) technique has been applied to model and optimize the removal process of Brilliant Green dye by batch electrocoagulation process. A multilayer perceptron (MLP) - ANN model has been trained by four input neurons which...
Autores principales: | Kothari, Manisha S., Vegad, Kinjal G., Shah, Kosha A., Aly Hassan, Ashraf |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819527/ https://www.ncbi.nlm.nih.gov/pubmed/35146148 http://dx.doi.org/10.1016/j.heliyon.2022.e08749 |
Ejemplares similares
-
Electro-Coagulation (Diathermy)
por: Lalvani, P. P.
Publicado: (1928) -
A methodology for identification and control of electro-mechanical actuators
por: Tutunji, Tarek A., et al.
Publicado: (2015) -
An eco-friendly methodology for the synthesis of azocoumarin dye using cation exchange resins
por: Al-Haj Hussien, Fadia
Publicado: (2021) -
Utilizations of electro-coagulated sludge from wastewater treatment plant data as an adsorbent for direct red 28 dye removal
por: Aragaw, Tadele Assefa
Publicado: (2019) -
Electro-Coagulation (Diathermy) in Malignant Growth of Face
por: Lalvani, P. P.
Publicado: (1928)