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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.
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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.
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