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fXOR fuzzy logic networks
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AI
DOI：10.1007/S00500-002-0179-5.png)
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摘要
En 中文
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](n), [0, 1](m). Some underlying properties of the fXOR neurons are discussed and a detailed learning algorithm is given along with a number of illustrative numeric examples.
Keyword:
fuzzy functions
optimization
logic networks
learning
fuzzy hardware
reed-muller expansion
algebraic form of fuzzy functions
