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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: 
Date Issue: 1993
Appears in Collections:Unicamp - Artigos e Outros Documentos

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