Canuto, Anne, Fairhurst, Michael, Howells, Gareth (2003) Enhancing Multi-Neural Systems through the use of Hybrid Structures. In: Neural Networks, 2004. Proceedings. 2003 IEEE International Joint Conference on. . IEEE ISBN 0-7803-7898-9. (doi:10.1109/IJCNN.2003.1223364) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59312)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://www.dx.doi.org/ 10.1109/IJCNN.2003.1223364 |
Abstract
This paper investigates the performance of multi-neural systems, focusing on the benefits that can be gained when integrating different types of neural experts (hybrid multi-neural system). An empirical evaluation shows that the integration of different types of neural networks leads to an improvement in performance in a practical classification task for a range of combination methods.
| Item Type: | Conference or workshop item (Paper) |
|---|---|
| DOI/Identification number: | 10.1109/IJCNN.2003.1223364 |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
| Depositing User: | Gareth Howells |
| Date Deposited: | 30 Nov 2016 18:35 UTC |
| Last Modified: | 05 Nov 2024 10:51 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/59312 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Fairhurst, Michael.
| Creator's ORCID: | |
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| CReDIT Contributor Roles: |
Howells, Gareth.
| Creator's ORCID: |
 https://orcid.org/0000-0001-5590-0880
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| CReDIT Contributor Roles: |
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