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Use of neural networks to correlate enzymatic hydrolysis with biomass properties
dc.creator | Narayan, Ramasubramanian | |
dc.date.accessioned | 2012-06-07T23:06:57Z | |
dc.date.available | 2012-06-07T23:06:57Z | |
dc.date.created | 2001 | |
dc.date.issued | 2001 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-N36 | |
dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
dc.description | Includes bibliographical references (leaves 75-76). | en |
dc.description | Issued also on microfiche from Lange Micrographics. | en |
dc.description.abstract | A neural network was used to correlate enzymatic digestibility with the following biomass properties: lignin content, acetyl content, and crystallinity index (CrI). The neural network model was not able to improve a previously developed empirical curve-fitting regression model used to predict glucan, xylan, and total sugar conversions. The neural network model identified that glucan conversion affected xylan conversion, which was not evident from the empirical model. The digestibility of lime-treated biomass samples agreed with the neural network model. Lignin content and CrI had the greatest impact on biomass digestibility, whereas acetyl content had a minor impact. | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Texas A&M University | |
dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
dc.subject | civil engineering. | en |
dc.subject | Major civil engineering. | en |
dc.title | Use of neural networks to correlate enzymatic hydrolysis with biomass properties | en |
dc.type | Thesis | en |
thesis.degree.discipline | civil engineering | en |
thesis.degree.name | M.S. | en |
thesis.degree.level | Masters | en |
dc.type.genre | thesis | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |
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