| dc.creator | Knidel H. | |
| dc.creator | De Castro L.N. | |
| dc.creator | Von Zuben F.J. | |
| dc.date | 2005 | |
| dc.date | 2015-06-26T14:09:49Z | |
| dc.date | 2015-11-26T14:09:46Z | |
| dc.date | 2015-06-26T14:09:49Z | |
| dc.date | 2015-11-26T14:09:46Z | |
| dc.date.accessioned | 2018-03-28T21:10:20Z | |
| dc.date.available | 2018-03-28T21:10:20Z | |
| dc.identifier | 1595930108 | |
| dc.identifier | Gecco 2005 - Genetic And Evolutionary Computation Conference. , v. , n. , p. 371 - 372, 2005. | |
| dc.identifier | | |
| dc.identifier | 10.1145/1068009.1068068 | |
| dc.identifier | http://www.scopus.com/inward/record.url?eid=2-s2.0-32544457579&partnerID=40&md5=0d7992a3c4b0463bb3687d711a40361b | |
| dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/93894 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/93894 | |
| dc.identifier | 2-s2.0-32544457579 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1241320 | |
| dc.description | This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demonstrates robustness in the initial experiments reported here for a benchmark problem. Comparisons with results from the literature are also provided. To automatically segment the resultant neurons at the output, a tool from graph theory was used with promising results. General discussions and avenues for future works are also provided. | |
| dc.description | | |
| dc.description | | |
| dc.description | 371 | |
| dc.description | 372 | |
| dc.description | Fritzke, B., Growing cell structures - A self-organizing network for unsupervised and supervised learning (1994) Neural Networks, 7 (9), pp. 1441-1460 | |
| dc.description | Zahn, C.T., Graph-theoretical methods for detecting and describing gestalt clusters (1971) IEEE on Comp., C-20, pp. 68-86 | |
| dc.description | De Castro, L.N., Von Zuben, F.J., De D Jr., G.A., The construction of a boolean competitive neural network using ideas from immunology (2003) Neurocomputing, 50 C, pp. 51-85 | |
| dc.description | De Castro, L.N., Von Zuben, F.J., Immune and neural network models: Theoretical and empirical comparisons (2001) International Journal of Computational Intelligence and Applications (IJCIA), 1 (3), pp. 239-257 | |
| dc.description | De Castro, L.N., Timmis, J., (2002) Artificial Immune Systems: A New Computational Intelligence Approach, , Springer-Verlag | |
| dc.description | Kasabov, N., (2002) Evolving Connectionist Systems: Methods and Applications in Bioinformatics, , Brain Study and Intelligent Machines, Springer Verlag | |
| dc.description | Haykin, S., (1999) Neural Networks - A Comprehensive Foundation, , Prentice Hall, 2nd Ed | |
| dc.description | Kohonen, T., (2000) Self-organizing Maps, , Springer-Verlag, 3rd Ed | |
| dc.language | en | |
| dc.publisher | | |
| dc.relation | GECCO 2005 - Genetic and Evolutionary Computation Conference | |
| dc.rights | fechado | |
| dc.source | Scopus | |
| dc.title | Rabnet: A Real-valued Antibody Network For Data Clustering | |
| dc.type | Actas de congresos | |
