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• W2890972748 abstract "Associative memories are biologically inspired models designed for the storage and recall by association. Such models aim to store a finite set of associations, called the fundamental memory set. The generalized exponential bidirectional fuzzy associative memory (GEB-FAM) is a heteroassociative memory model designed for the storage and recall of fuzzy sets. A similarity measure, that is, a function that indicates how much two fuzzy sets are equal, is at the core of a GEB-FAM model. In this paper, we present a detailed study on the use of cardinality-based similarity measures in the definition of a GEB-FAM. Moreover, we evaluate the performance of the GEB-FAMs defined using such measures in a face recognition problem." @default.
• W2890972748 created "2018-09-27" @default.
• W2890972748 creator A5012009095 @default.
• W2890972748 creator A5050022402 @default.
• W2890972748 date "2018-08-01" @default.
• W2890972748 modified "2023-10-03" @default.
• W2890972748 title "Generalized Exponential Bidirectional Fuzzy Associative Memory with Fuzzy Cardinality-Based Similarity Measures Applied to Face Recognition" @default.
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• W2890972748 doi "https://doi.org/10.5540/tema.2018.019.02.0221" @default.
• W2890972748 hasPublicationYear "2018" @default.
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