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Knowledge-Based Neurocomputing: A Fuzzy Logic Approach - Michael Margaliot - Bog

Bag om Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB. The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783540880769
  • Indbinding:
  • Hardback
  • Sideantal:
  • 116
  • Udgivet:
  • 17. Januar 2009
  • Størrelse:
  • 160x12x241 mm.
  • Vægt:
  • 348 g.
  • 2-3 uger.
  • 4. Maj 2024
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Beskrivelse af Knowledge-Based Neurocomputing: A Fuzzy Logic Approach

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools from fuzzy logic theory, yields an input-output map that is mathematically equivalent to that of an artificial neural network. Conversely, every standard artificial neural network has an equivalent FARB.

The FARB-ANN equivalence integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based neurocomputing in artificial neural networks.

Brugerbedømmelser af Knowledge-Based Neurocomputing: A Fuzzy Logic Approach



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