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dc.creatorNarayan, Ramasubramanian
dc.date.accessioned2012-06-07T23:06:57Z
dc.date.available2012-06-07T23:06:57Z
dc.date.created2001
dc.date.issued2001
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-N36
dc.descriptionDue 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.descriptionIncludes bibliographical references (leaves 75-76).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractA 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.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis 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.subjectcivil engineering.en
dc.subjectMajor civil engineering.en
dc.titleUse of neural networks to correlate enzymatic hydrolysis with biomass propertiesen
dc.typeThesisen
thesis.degree.disciplinecivil engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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