New uninorm-based neuron model and fuzzy neural networks

  title={New uninorm-based neuron model and fuzzy neural networks},
  author={Andr{\'e} Paim Lemos and Walmir M. Caminhas and Fernando Gomide},
  journal={2010 Annual Meeting of the North American Fuzzy Information Processing Society},
This paper suggests a uninorm-based neuron model and a neural network architecture using unineurons. The unineuron generalizes logical and/or neurons using weighted uninorms. Previous works have addressed fuzzy neurons within the framework of uninorms. This paper introduces a new unineuron model that uses weighted aggregation of the inputs, and computes its output using a conventional neuron. A feedforward fuzzy neural architecture is developed and used to model nonlinear dynamic systems. The… CONTINUE READING
Highly Cited
This paper has 20 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 11 extracted citations


Publications referenced by this paper.
Showing 1-10 of 21 references

Fuzzy Neural Networks and Neurocomputations

  • W. Pedrycz
  • Fuzzy Sets and Systems, vol. 56, no. 1, pp. 1–28…
  • 1993
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…