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13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Manchester : B - Electrical and Electronic Engineering

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Article title

Properties of the Proximate Parameter Tuning Regularization Algorithm

Type

D - Journal article

DOI

10.1007/s11538-009-9466-y

Title of journal

Bulletin of Mathematical Biology

Article number

Volume number

Issue number

First page of article

697

ISSN of journal

1522-9602

Year of publication

2010

URL

Number of additional authors

Additional information

Although many heuristic parameter estimation algorithms have been developed to identify kinetic constants in large, complex biochemical regulatory networks, issues such as validation and complexity are difficult to address. This paper allows the optimal estimated properties to be properly validated. The results of the research have been exploited in research at the University of Sheffield and industrially in Lonza Biologics (doi: 10.1002/bit.22769, doi: 10.1002/btpr.692). Fei He, the PhD student on this project, has been appointed as a Research Associate at the University of Sheffield.

Interdisciplinary

Cross-referral requested

Research group

8 - Control Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract