Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN
Using Novel Artificial Neural Network Methods in Adsorbing Aqueous Methyl Violet Dye by Modified Palm Fiber
(Sprache: Englisch)
In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and...
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In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosage. In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. The performance of this method is tested by common statistical parameters including RMSE, MAE, and CE. The results show that the artificial neural network algorithm has a good performance in simulating and predicting the removal of violet methyl dye.
Autoren-Porträt von Rashin Andayesh, Maryam Abrishamkar
Andayesh, RashinRashin Andayesh has always dreamed of becoming a chemist, but it didn't give her a sense of serenity and peace of mind when she had environmental concerns. Rashin achieved her goal and holds an MSc degree in Analytical Chemistry and now she is a PhD student in University of South Australia to fulfill her ambition about Environmental Science.
Bibliographische Angaben
- Autoren: Rashin Andayesh , Maryam Abrishamkar
- 2020, 52 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6202565373
- ISBN-13: 9786202565370
Sprache:
Englisch
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