Neural Network Modeling And Optimization For Enzymatic Hydrolysis Of Xylose From Rice Straw
In this thesis, enzymatic hydrolysis was utilized in the production of xylose from rice straw. The process model was developed by the modeling techniques using feed-forward artificial neural network (FANN) and optimized using both particle swarm optimization (PSO) and genetic algorithm (GA). The par...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.usm.my/41069/1/NUR%E2%80%99ATIQAH_BINTI_NORHALIM_24_Pages.pdf |
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