| EPSRC Reference: |
GR/K55110/01 |
| Title: |
NEUROFUZZY MODEL BUILDING ALGORITHMS AND THEIR APPLICATION IN NON-STATIONARY ENVIRONMENTS |
| Principal Investigator: |
Harris, Professor C |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Faculty of Engineering & the Environment |
| Organisation: |
University of Southampton |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
25 March 1996 |
Ends: |
24 March 1999 |
Value (£): |
175,222
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| EPSRC Research Topic Classifications: |
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| EPSRC Industrial Sector Classifications: |
| Electronics |
Information Technologies |
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Summary on Grant Application Form |
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This proposal is aimed at developing and applying several neurofuzzy model building algorithms to a variety of problems identified by our industrial partners. These data modelling problems will focus our efforts on techniques which can reliably model complex, nonlinear processes and the related research into on-line learning will be applied to non-stationary systems which cannot be modelled off-line. One of the primary goals of this project is to develop a software toolset which can be used to integrate verbal, expert knowledge and numeric, data-driven information in a unified design package. This will allow immediate exploitation of our results by both industry and academia. The data provided by our industrial partners will allow the strengths and weaknesses of these techniques to be evaluated, and guidelines to be provided about where these algorithms are applicable. The programme will involve 2 universities: Brighton and Southampton, and four industrial companies: GEC, Lucas, Eurothern and Neural Computer Sciences. A number of data modelling problems have been outlined and Eurothern will be contributing a software toolset which will allow us to explore the possibility of developing embedded systems.
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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.soton.ac.uk |