rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Use of neural networks to correlate enzymatic hydrolysis with biomass properties
  name:
    name part: Narayan, Ramasubramanian.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 2001
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    form: remote
    extent: xiii, 128 leaves : illustrations ; 28 cm.
  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.
  note: by Ramasubramanian Narayan.
  note: "Major subject: Civil Engineering".
  note: Vita.
  note: Also available online.
  note: Issued also on microfiche from Lange Micrographics.
  note: M.S. Texas A&M University 2001.
  note: Includes bibliographical references (leaves 75-76).
  subject:
    topic: Major civil engineering
  identifier: https://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-N36
  related item:
    location:
      url: https://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-N36
  record info:
    record content source: TXA
    record creation date: 020605
    record change date: 20220103134744.0
    record identifier: in00001696276