| EPSRC Reference: |
GR/K55325/01 |
| Title: |
STRATEGIES FOR APPLYING NEURAL COMPUTING TO TIME- VARYING SIGNALS & APPLICATION TO TYRE QUALITY CONTROL |
| Principal Investigator: |
Harris, Dr T |
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| Project Partners: |
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| Department: |
Design |
| Organisation: |
Brunel University London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
30 October 1995 |
Ends: |
29 October 1997 |
Value (£): |
84,472
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| EPSRC Industrial Sector Classifications: |
| Transport Systems and Vehicles |
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Summary on Grant Application Form |
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This proposal is made in response to the Neural Computing - Key Questions CallThe project will address some of the difficulties involved in the practical application of neural computing to time-varying signals. The main questions include when and how to re-train and in the representation of prior knowledge. The test-bed application and industrial support is provided from the tyre industry by Dunlop SP Tyres UK Ltd. The results will be generic enough, however, to benefit a wide range of industrial sectors.The work will mainly focus on the application of Kohonen Self-Organising Map Networks and Logical Weightless Networks and will primarily address question 2 of the call: What is the optimum strategy when applying neural computing to time-varying data? . The particular questions of when and how the network should be re-trained and what and how prior knowledge can be incorporated will be of critical importance to the work. The optimum architectures for on-line re-training, reliability and robustness will also be addressed. Additional questions address the data representation area, in particular the basic time-varying or transformed data. All these questions will be addressed against the desire for robust and cost effective, practical solutions.
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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.brunel.ac.uk |