A Neuron-Inspired Fuzzy Relation Model of Dynamic System And Its Learning Algorithms
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    Abstract:

    In view of fuzzy sets and their operations, three kinds of logical neurons, i, e. , AND, OR and AND/OR neurons can be chassified into two types: weighted and relational. Using AND, OR and AND/OR neurons, a fuzzy relational model for dynamic system modeling is provided as well as its learning algorithms. By a simple example, the soundness and learning capability of the algorithms are verified.

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History
  • Received:September 16,1996
  • Revised:
  • Adopted:
  • Online: May 28,2014
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