Hybrid Modeling (Neural Networks and First Principles) of Fermentation: Combining Biochemical Engineering Fundamentals and Process Data

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" Hybrid Modeling (Neural Networks and First Principles) of Fermentation: Combining Biochemical Engineering Fundamentals and Process Data "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151496
Doc. No	:	ET23288
Main Entry	:	Robert P. Kasprow
Title Proper	:	Hybrid Modeling (Neural Networks and First Principles) of Fermentation: Combining Biochemical Engineering Fundamentals and Process Data
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	A sigdficant numberof pharmaceuticals and other biological products are produced by batchor fed-batch fermentations- Over the course of these fetmentatri, the concentrations of the keycomponents and theu time derivatives may change by s c v d orders of magnitude. The kiwticequations governing these changes are generally nonlineary representing the complex interplaybetween cellular physiology and environment. As a muit, modeling and prediction ofthe timecourse of a fennentation is a challenging task. Accurate models of fermentation would be usefblin the industrial production of biomolecules. Such models would allow improvements inscheduling of process equipment and personnel, the development of predictive control....-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL46525.pdf
Title and statement of responsibility and	:	Hybrid Modeling (Neural Networks and First Principles) of Fermentation: Combining Biochemical Engineering Fundamentals and Process Data [Thesis]