Modeling of acetosolv pulping of oil palm fronds using response surface methodology and wavelet neural networks
Mathematical models based on response surface methodology (RSM) and wavelet neural networks (WNNs) in conjunction with a central composite design were developed in order to study the influence of pulping variables viz. acetic acid, temperature, time, and hydrochloric acid (catalyst) on the resulting...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Springer
2019
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/4065/1/AJ%202019%20%28207%29.pdf http://eprints.uthm.edu.my/4065/ https://doi.org/10.1007/s10570-019-02406-z |
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