Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/99886
Type: Artigo de evento
Title: Neurofuzzy Interpolation: Ii - Reducing Complexity Of Description
Author: Rocha A.F.
Abstract: This paper describes a neurofuzzy method of information compression. A neural-like structure is developed to operate on a set of sequential data in order to extract the minimal amount of data that can still accurately represent the entire original set. Fuzzy interpolation is used to regenerate the whole original set of data whenever necessary.
Editor: Publ by IEEE, Piscataway, NJ, United States
Rights: fechado
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0027307525&partnerID=40&md5=5ce0ad0f5811a613e476463631a32a22
Date Issue: 1993
Appears in Collections:Unicamp - Artigos e Outros Documentos

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