fXOR fuzzy logic networks

نویسندگان

  • Witold Pedrycz
  • Giancarlo Succi
چکیده

The study introduces a new class of fuzzy neurons and fuzzy neural networks exploiting a model of a generalized 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, say [0,1] [0,1]. Some underlying 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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عنوان ژورنال:
  • Soft Comput.

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2002