| EPSRC Reference: |
GR/K90791/01 |
| Title: |
ROPA.DATA ANALYSIS & DYNAMIC MODELLING OF PROCESS ENGINEERING SYSTEMS USING GENETIC PROGRAMMING |
| Principal Investigator: |
Willis, Dr M |
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| Project Partners: |
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| Department: |
Chemical Engineering & Advanced Material |
| Organisation: |
Newcastle University |
| Scheme: |
ROPA |
| Starts: |
01 October 1996 |
Ends: |
30 September 1998 |
Value (£): |
72,292
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| EPSRC Research Topic Classifications: |
| Design of Process systems |
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| Panel History: |
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Summary on Grant Application Form |
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The aim is to use Genetic Programming (GP), a methodology proposed by computer scientists and develop and extend the concept to tackle key problems within the domain of process engineering. GP performs symbolic regression, determining both the structure and the complexity of the model during evolution. This is particularly important in an industrial context, where it is normally highly desirable to gain as much information as possible about the underlying process, as well as make accurate numeric predictions. The prime deliverable will be proof that this concept will be of major benefit to the process engineering community.
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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.ncl.ac.uk |