Fuzzy Set Interpretation of Comparator Networks

Sosnowski, Łukasz; Ślęzak, Dominik

doi:10.1007/978-3-319-19941-2_33

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A Layers In Comparator Network2

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Cited by 4 publications

(2 citation statements)

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“…However, through aggregation and translation these local similarities become the material for synthesis of the output similarity and reference set for the layer. This synthesis is based on a translation matrix, as described in [11]. Function (9) is created as a superposition of: comparator's function (1), local (layer) aggregation function and translation.…”

Section: A Layers In Comparator Networkmentioning

confidence: 99%

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Recognition of Compound Objects Based on Network of Comparators

Sosnowski¹,

Szczuka²

2016

Annals of Computer Science and Information Systems

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This paper proposes a methodology for compound objects' recognition based on comparators and comparator networks. The methodology is supported by a collection of techniques and algorithms for construction and learning of comparator networks. Formal description of the methodology is accompanied by selected examples of its application in reallife problems. The described methodology has been implemented as a software library and may be used for a variety of future applications. Position

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Section: A Layers In Comparator Networkmentioning

confidence: 99%

“…The components of the comparator network are described briefly below. For details please refer to [11], [12].…”

Section: A Layers In Comparator Networkmentioning

confidence: 99%