Prediction of rhamnolipid breakthrough curves on activated carbon and amberlite XAD-2 using artificial neural network and group method data handling models

Artificial Neural Network (ANN) and Group Method Data Handling (GMDH) models, a kind of polynomial neural network, were used to predict the breakthrough curves of rhamnolipids onto activated carbon and Amberlite XAD-2 adsorbents. Rhamnolipids were produced by Pseudomonas aeruginosa and were previous...

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Главные авторы: Souza, Domingos Fabiano de Santana, Padilha, Carlos Eduardo de Araújo, Padilha, Carlos Alberto de Araújo, Oliveira, Jackson Araújo de, Macedo, Gorete Ribeiro de, Santos, Everaldo Silvino dos
Формат: article
Язык:English
Опубликовано: Elsevier
Предметы:
Rhamnolipids
Adsorption
Breakthrough curves
ANN model
GMDH model
Online-ссылка:https://repositorio.ufrn.br/handle/123456789/45196
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https://repositorio.ufrn.br/handle/123456789/45196

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