Fuzzy Neural Networks

  • Lee S
  • Lee E
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In this paper, the McCulloch-Pitts model of a neuron is extended to a more general model which allows the activity of a neuron to be a "fuzzy" rather than an "all-or-none" process. The generalized model is called a fuzzy neuron. Some basic properties of fuzzy neural networks as well as their applications to the synthesis of fuzzy automata are investigated. It is shown that any n-state minimal fuzzy automatan can be realized by a network of m fuzzy neurons, where ⌈log2n⌉

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  • Samuel C. Lee

  • Edward T. Lee

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