Cong, S;
Li, K;
(2021)
Analysis and Comparison of the Structure and Performance of Local Neural Networks.
In:
11th International Conference on Intelligent Control and Information Processing, ICICIP 2021.
(pp. pp. 66-71).
IEEE: Dali, China.
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Abstract
The paper synthesizes the local neural networks. Network structures and their activation functions of three local networks CMAC, B-spline, RBF that are often used to approach functions are analyzed and compared in detail. The network structure of ART-2 is also discussed. Based on the fuzzy system of these local networks, the paper depicts their fuzzy structures and performances. The study and analysis in the paper are useful to instruct to select and design the local neural networks.
| Type: | Proceedings paper |
|---|---|
| Title: | Analysis and Comparison of the Structure and Performance of Local Neural Networks |
| Event: | 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) |
| Dates: | 3 Dec 2021 - 7 Dec 2021 |
| ISBN-13: | 9781665425155 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ICICIP53388.2021.9642169 |
| Publisher version: | https://doi.org/10.1109/ICICIP53388.2021.9642169 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Local neural network, CMAC, B-spline, ART-2, fuzzy-neural network |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10163941 |
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