portada Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN (en Inglés)

Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN (en Inglés)

Formato

Libro Físico

Autor

Rashin Andayesh

Maryam Abrishamkar

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

Peso

0.09 kg.

ISBN13

9786202565370

Categorías

Química

Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN (en Inglés)

Rashin Andayesh (Autor) · Maryam Abrishamkar (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN (en Inglés)"

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.