| EPSRC Reference: |
GR/G25542/01 |
| Title: |
NEURAL NETWORK METHODOLOGIES FOR PROCESS MODELLING CONTROL AND OPTIMISATION |
| Principal Investigator: |
Morris, Professor A |
| Other Investigators: |
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| Department: |
Chemical Engineering & Advanced Material |
| Organisation: |
Newcastle University |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
18 May 1991 |
Ends: |
17 November 1994 |
Value (£): |
126,924
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Summary on Grant Application Form |
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The objectives of the research programme are firstly to provide a fundamental theoretical basis for the use of neural network methodologies as a flexible modelling tool, and secondly to investigate their application to a number of demonstration processes. The demonstrator projects will be selected so as to facilitate adoption of the techniques developed by the industrial and scientific communities in the solution of problems which require a pattern classification approach. Technology transfer will be supported by an International Neural Networks Club between Newcastle and the University of Maryland, USA, which already has over 30 industrial members. Typical areas of interest are sensor data interpretation, non-invasive sensing, model based process control and optimisation, and complex data analysis normally tackled by PCA and PLS methods.
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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 |
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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.ncl.ac.uk |