A hybrid approach applied to an industrial distillation column that compares physical and neural network modeling techniques

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dc.contributor.advisorSvrcek, William Y.
dc.contributor.authorSabharwal, Amish
dc.date.accessioned2005-07-29T16:24:25Z
dc.date.available2005-07-29T16:24:25Z
dc.date.issued1997
dc.descriptionBibliography: p. 148-156en
dc.format.extentxiv, 200 leaves ; 30 cm.en
dc.identifier.citationSabharwal, A. (1997). A hybrid approach applied to an industrial distillation column that compares physical and neural network modeling techniques (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/23628en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/23628
dc.identifier.isbn0612314014en
dc.identifier.lccTP156 .D5 S33 1997en
dc.identifier.urihttp://hdl.handle.net/1880/26824
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccTP156 .D5 S33 1997en
dc.subject.lcshDistillation
dc.subject.lcshChemical process control
dc.subject.lcshChemical engineering - Electronic data processing
dc.titleA hybrid approach applied to an industrial distillation column that compares physical and neural network modeling techniques
dc.typemaster thesis
thesis.degree.disciplineChemical Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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