| EPSRC Reference: |
GR/J46661/01 |
| Title: |
RECURSIVE ESTIMATION WITH DYNAMIC ARCHITECTURE, MODULAR AND MULTIPLE NEURAL NETWORKS |
| Principal Investigator: |
Kadirkamanathan, Professor V |
| Other Investigators: |
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| Department: |
Automatic Control and Systems Eng |
| Organisation: |
University of Sheffield |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 December 1993 |
Ends: |
30 November 1996 |
Value (£): |
108,482
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Summary on Grant Application Form |
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Provide a statistically based framework for recursive estimation with neural networks develop within this framework, dynamic architecture networks Introduce and develop multiple and modular networks for recursive estimation Integrate the different types of networks above within a single large network Demonstrate the effectiveness of the algorithms on benchmark problems and real world applications
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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.shef.ac.uk |