| Full text | |
| Author(s): |
Ferreira Cruz, Davila Patricia
;
Maia, Renato Dourado
;
da Silva, Leandro Augusto
;
de Castro, Leandro Nunes
;
Omatu, S
;
Bersini, H
;
Corchado, JM
;
Rodriguez, S
;
Pawlewski, P
;
Bucciarelli, E
Total Authors: 10
|
| Document type: | Journal article |
| Source: | DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE; v. 290, p. 8-pg., 2014-01-01. |
| Abstract | |
Different methods have been used to train radial basis function neural networks. This paper proposes a bee-inspired algorithm to automatically select the number and location of basis functions to be used in such RBF network. The algorithm was designed to solve data clustering problems, where the centroids of clusters are used as centers for the RBF network. The approach presented in this paper is preliminary evaluated in three synthetic datasets, two classification datasets and one function approximation problem, and its results suggest a potential for real-world application. (AU) | |
| FAPESP's process: | 13/05757-2 - Image classification combining visual features and text data: neural approach and based on swarms |
| Grantee: | Leandro Augusto da Silva |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 13/12005-7 - Clustering and Classification by Means of a Bee-Inspired Algorithm |
| Grantee: | Dávila Patrícia Ferreira Cruz |
| Support Opportunities: | Scholarships in Brazil - Master |