2014
EMSS 2014 Proceeding
Modeling and optimization of the extraction of lignosulfonate from barley straw by using artificial neural networks
Authors: Maria Guadalupe Serna-Diaz, Joselito Medina-Marin, Ainhoa Arana-Cuena, Juan Carlos Seck-Tuoh-Mora, Alejandro Tellez-Jurado, Yuridia Mercado-Flores, Angelica Jimenez-Gonzalez, Norberto Hernandez-Romero
Abstract
Artificial Neural Networks (ANNs) have been applied to model dynamic systems from a wide range of areas. In particular, we are interested in the application of ANN in fitting data sets to model the extraction process of lignosulfonates from barley straw. In order to know real data about the percentage of delignification taking into account three variables from the experimental process cooking time of the barley straw, percentage of sulfite concentration applied to the barley straw, and barley size. With the data gathered from 75 experiments performed three times each one, we created an ANN optimal with a minimum mse, and we calculate an optimal value from this ANN model.
I3M Scientific Sponsors
I3M Industrial Sponsors
I3M Media Sponsors
