Abstract:
:In this work, published experimental result data of the pulping of tagasaste (Chamaecytisus proliferus L.F.) with soda and anthraquinone (AQ) have been used to develop a model using a neural network. The paper presents the development of a model with a neural network to predict the effects that the operational variables of the pulping reactor (temperature, soda concentration, AQ concentration, time and liquid/solid ratio) have on the properties of the paper sheets of the obtained pulp (brightness, traction index, burst index and tear index). Using a factorial experimental design, the results obtained with the neural network model are compared with those obtained from a polynomial model. The neural network model shows a higher prediction precision that the polynomial model.
journal_name
Bioresour Technoljournal_title
Bioresource technologyauthors
Labidi J,Tejado A,García A,Jiménez Ldoi
10.1016/j.biortech.2007.12.052subject
Has Abstractpub_date
2008-10-01 00:00:00pages
7270-7issue
15eissn
0960-8524issn
1873-2976pii
S0960-8524(07)01086-3journal_volume
99pub_type
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