title: Bioprocess supervision: neural networks and knowledge based systems.
abstract: Supervision of highly non-linear and time variant bioprocesses is of considerable importance to bioindustries as a means of achieving improved productivity and reduced process variability. Artificial intelligence methodologies, including artificial neural networks and knowledge based systems, can contribute significantly to the achievement of these objectives.
authors.affiliation: Department of Chemical and Process Engineering, University of Newcastle upon Tyne, United Kingdom.
authors.forename: J
authors.initials: J
authors.lastname: Glassey
authors.forename: M
authors.initials: M
authors.lastname: Ignova
authors.forename: A C
authors.initials: AC
authors.lastname: Ward
authors.forename: G A
authors.initials: GA
authors.lastname: Montague
authors.forename: A J
authors.initials: AJ
authors.lastname: Morris
mesh_terms: D015374:Biosensing Techniques; D001709:Biotechnology / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D016571:Neural Networks, Computer; D012984:Software