Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN

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.

Autorentext

Rashin Andayesh siempre ha soñado con ser químico, pero no le dio una sensación de serenidad y tranquilidad cuando tuvo preocupaciones ambientales. Rashin logró su objetivo y tiene una maestría en Química Analítica y ahora es estudiante de doctorado en la Universidad de Australia del Sur para cumplir su ambición sobre la Ciencia Ambiental.