Mitra, Sushmita (2004) Fuzzy radial basis function network: a parallel design Neural Computing and Applications, 13 (3). pp. 261-267. ISSN 0941-0643
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Official URL: https://doi.org/10.1007/s00521-004-0431-2
Related URL: http://dx.doi.org/10.1007/s00521-004-0431-2
Abstract
The fuzzy radial basis function (FRBF) network comprises an integration of the principles of a radial basis function (RBF) network and the fuzzy c-means (FCM) algorithm. A programmable parallel architecture design is proposed for the FRBF, both for FCM clustering at the hidden layer and the weight training at the output layer of the network. The behavior of the system is described in terms of processor utilization. The performance of the parallel design is quantitatively evaluated.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer Nature. |
| Keywords: | Parallel neural architecture; Soft computing; Radial basis function network; Fuzzy clustering; Performance evaluation. |
| ID Code: | 140195 |
| Deposited On: | 07 Sep 2025 07:30 |
| Last Modified: | 07 Sep 2025 07:30 |
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