| EPSRC Reference: |
GR/K55288/01 |
| Title: |
AUTONOMOUS TRAINING ALGORITHMS FOR NEURAL NETWORKS |
| Principal Investigator: |
Rockett, Dr P |
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| Department: |
Electronic and Electrical Engineering |
| Organisation: |
University of Sheffield |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 November 1995 |
Ends: |
31 August 1998 |
Value (£): |
73,592
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Summary on Grant Application Form |
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The aim of this project is to deliver two autonomous neural network training algorithms which will provide statistically founded solutions to the problem of static pattern clarification. This will include finalising a theoretical evaluation of the Bhattacharryya similarity metric for the automatic selection of computational models of data, and the development of two complementary neural network architectures. One architecture which aims to grow a neural architecture to solve a problem and the second which aims to reduce the internal complexity of the network in order to maximise generalisation ability. This project will be evaluated in the industrial domain on the labelling of satellite imagery and provide a practical use of these algorithms for immediate industrial exploitation.
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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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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 |