publication . Article . 2012

Pulp and paper from oil palm fronds: Wavelet neural networks modeling of soda-ethanol pulping

Zarita Zainuddin; Wan Rosli Wan Daud; Pauline Ong; Amran Shafie;
Open Access English
  • Published: 01 Nov 2012 Journal: BioResources (issn: 1930-2126, Copyright policy)
  • Publisher: North Carolina State University
Abstract
Wavelet neural networks (WNNs) were used to investigate the influence of operational variables in the soda-ethanol pulping of oil palm fronds (viz. NaOH concentration (10-30%), ethanol concentration (15-75%), cooking temperature (150-190 ºC), and time (60-180 min)) on the resulting pulp and paper properties (viz. screened yield, kappa number, tensile index, and tear index). Performance assessments demonstrated the predictive capability of WNNs, in that the experimental results of the dependent variables with error less than 6% were reproduced, while satisfactory R-squared values were obtained. It thus corroborated the good fit of the WNNs model for simulating th...
Subjects
Medical Subject Headings: food and beverages
free text keywords: Oil palm fronds, Optimization, Pulp and paper, Soda-ethanol, Wavelet neural networks, Biotechnology, TP248.13-248.65
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Article . 2012
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