The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2008 |
| Outros Autores: | |
| Tipo de documento: | Artigo de conferência |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da UNESP |
| Texto Completo: | http://dx.doi.org/10.1109/IJCNN.2008.4633964 http://hdl.handle.net/11449/41172 |
Resumo: | This paper presents the principal results of a detailed study about the use of the Meaningful Fractal Fuzzy Dimension measure in the problem in determining adequately the topological dimension of output space of a Self-Organizing Map. This fractal measure is conceived by combining the Fractals Theory and Fuzzy Approximate Reasoning. In this work this measure was applied on the dataset in order to obtain a priori knowledge, which is used to support the decision making about the SOM output space design. Several maps were designed with this approach and their evaluations are discussed here. |
| id |
UNSP_0e70332d980219d2054ba605a98126c3 |
|---|---|
| oai_identifier_str |
oai:repositorio.unesp.br:11449/41172 |
| network_acronym_str |
UNSP |
| network_name_str |
Repositório Institucional da UNESP |
| repository_id_str |
2946 |
| spelling |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing MapsThis paper presents the principal results of a detailed study about the use of the Meaningful Fractal Fuzzy Dimension measure in the problem in determining adequately the topological dimension of output space of a Self-Organizing Map. This fractal measure is conceived by combining the Fractals Theory and Fuzzy Approximate Reasoning. In this work this measure was applied on the dataset in order to obtain a priori knowledge, which is used to support the decision making about the SOM output space design. Several maps were designed with this approach and their evaluations are discussed here.Univ São Paulo, State Univ São Paulo, BR-09500900 São Paulo, BrazilUniv São Paulo, State Univ São Paulo, BR-09500900 São Paulo, BrazilIEEEUniversidade Estadual Paulista (Unesp)Peres, Sarajane M. [UNESP]Netto, Marcio L. de A.2014-05-20T15:32:12Z2014-05-20T15:32:12Z2008-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1285-1291http://dx.doi.org/10.1109/IJCNN.2008.46339642008 IEEE International Joint Conference on Neural Networks, Vols 1-8. New York: IEEE, p. 1285-1291, 2008.1098-7576http://hdl.handle.net/11449/4117210.1109/IJCNN.2008.4633964WOS:000263827200207Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2008 IEEE International Joint Conference on Neural Networks, Vols 1-8info:eu-repo/semantics/openAccess2021-10-23T21:37:53Zoai:repositorio.unesp.br:11449/41172Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:12:40.807145Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
| dc.title.none.fl_str_mv |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| title |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| spellingShingle |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps Peres, Sarajane M. [UNESP] |
| title_short |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| title_full |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| title_fullStr |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| title_full_unstemmed |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| title_sort |
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps |
| author |
Peres, Sarajane M. [UNESP] |
| author_facet |
Peres, Sarajane M. [UNESP] Netto, Marcio L. de A. |
| author_role |
author |
| author2 |
Netto, Marcio L. de A. |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
| dc.contributor.author.fl_str_mv |
Peres, Sarajane M. [UNESP] Netto, Marcio L. de A. |
| description |
This paper presents the principal results of a detailed study about the use of the Meaningful Fractal Fuzzy Dimension measure in the problem in determining adequately the topological dimension of output space of a Self-Organizing Map. This fractal measure is conceived by combining the Fractals Theory and Fuzzy Approximate Reasoning. In this work this measure was applied on the dataset in order to obtain a priori knowledge, which is used to support the decision making about the SOM output space design. Several maps were designed with this approach and their evaluations are discussed here. |
| publishDate |
2008 |
| dc.date.none.fl_str_mv |
2008-01-01 2014-05-20T15:32:12Z 2014-05-20T15:32:12Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
| format |
conferenceObject |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/IJCNN.2008.4633964 2008 IEEE International Joint Conference on Neural Networks, Vols 1-8. New York: IEEE, p. 1285-1291, 2008. 1098-7576 http://hdl.handle.net/11449/41172 10.1109/IJCNN.2008.4633964 WOS:000263827200207 |
| url |
http://dx.doi.org/10.1109/IJCNN.2008.4633964 http://hdl.handle.net/11449/41172 |
| identifier_str_mv |
2008 IEEE International Joint Conference on Neural Networks, Vols 1-8. New York: IEEE, p. 1285-1291, 2008. 1098-7576 10.1109/IJCNN.2008.4633964 WOS:000263827200207 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
2008 IEEE International Joint Conference on Neural Networks, Vols 1-8 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
1285-1291 |
| dc.publisher.none.fl_str_mv |
IEEE |
| publisher.none.fl_str_mv |
IEEE |
| dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
| instname_str |
Universidade Estadual Paulista (UNESP) |
| instacron_str |
UNESP |
| institution |
UNESP |
| reponame_str |
Repositório Institucional da UNESP |
| collection |
Repositório Institucional da UNESP |
| repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
| repository.mail.fl_str_mv |
|
| _version_ |
1808128481064648704 |