Wavelet neural networks applied to pulping of oil palm fronds

作者：Zainuddin Zarita^*; Daud Wan Rosli Wan; Pauline Ong; Shafie Amran

来源：Bioresource Technology, 2011, 102(23): 10978-10986.

DOI：10.1016/j.biortech.2011.09.080

• Organosolv
• Palm fronds
• Pulping
• Response surface methodology
• Wavelet neural networks

In the organosolv pulping of the oil palm fronds, the influence of the operational variables of the pulping reactor (viz, cooking temperature and time, ethanol and NaOH concentration) on the properties of the resulting pulp (yield and kappa number) and paper sheets (tensile index and tear index) was investigated using a wavelet neural network model. The experimental results with error less than 0.0965 (in terms of MSE) were produced, and were then compared with those obtained from the response surface methodology. Performance assessment indicated that the neural network model possessed superior predictive ability than the polynomial model, since a very close agreement between the experimental and the predicted values was obtained.

• 出版日期2011-12