Title:

fXOR fuzzy logic networks

Subtitle:

Raport Badawczy = Research Report ; RB/55/2001

Creator:

Pedrycz, Witold (1953– ) ; Succi, Giancarlo

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Date issued/created:

2001

Description:

14 pages ; 21 cm ; Bibliography p. 14

Subject and Keywords:

Fuzzy logic

Abstract:

The study introduces a new class of fuzzy neurons and fuzzy neural networks exploiting a model of a generalizd multivalued exclusive-OR (XOR) operation. The proposed neural architecture is useful in an algebraic representation (description) of fuzzy functions regarded as mappings between unit hypercubes. Some underying properties of the fXOR neurons are discussed and a detailed learning algorithm is given along with a number of illustrative numeric examples.

Relation:

Raport Badawczy = Research Report

Resource type:

Text

Detailed Resource Type:

Report

Source:

RB-2001-55

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open