| EPSRC Reference: |
GR/L30930/01 |
| Title: |
NEURAL MODELLING AND TRADITIONAL INDUSTRY: APPLICATIONS IN PAPERMAKING |
| Principal Investigator: |
Murray, Professor AF |
| Other Investigators: |
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| Department: |
Sch of Engineering |
| Organisation: |
University of Edinburgh |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 May 1997 |
Ends: |
30 December 2000 |
Value (£): |
263,808
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| EPSRC Research Topic Classifications: |
| Manufacturing Machine & Plant |
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Summary on Grant Application Form |
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This project aims to extend preliminary work funded by and EPSRC CASE studentship, modelling the curl of finished paper, to provide a prediction of curl for a new roll of paper. This will underpin a neural modelling (software) tool to be used for decision making support of the shop floor.The technical issue that is being addressed goes beyond the normal aim of a neural network solution to a regression problem (to build a neural model of an unknown non-linear mapping). The critical goal here is to provide a solution that can be embedded in the papermaking plant as a piece of decision support software that experienced papermaking engineers and technicians will use and trust. Initially, we do not propose to place a neural network in the plant control loop, thus replacing the skilled operator. This option may become attractive in situations where the neural model proves to be highly accurate and plant conditions make complete automation attractive (where the environment is unpleasant, for example). The neural model will therefore be configured primarily as decision support software and will support different modelling tasks in two distinct papermaking plants.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ed.ac.uk |