• DocumentCode
    2694789
  • Title

    Integers neural network systems (INNS) using resonance properties of a Fibonacci´s chaotic `golden neuron´

  • Author

    Perez, Jean-Claude

  • fYear
    1990
  • fDate
    17-21 June 1990
  • Firstpage
    859
  • Abstract
    Original neural network research which results from the intersection of chaos theory and number theory is presented. The chaos theory background stems from the fractal chaos neural network model, and the number theory background stems from particular selective sensitivity emerging from neurons based on Fibonacci´s integer number settings. In fact, there is a mutual reinforcement between numerical holographic-like properties related to the fractal chaos network and to numbers deduced from the golden ratio. The dynamics of the fractal chaos model are limited to a subset of particular initial and control settings related to the golden ratio and Fibonacci´s integer numbers. An analysis is made of ultrasensitive and selective capabilities of Fibonacci´s neuron. This model anticipates potential perspectives in the neural networks field
  • Keywords
    chaos; fractals; holography; neural nets; number theory; resonance; Fibonacci series; chaotic golden neuron; fractal chaos model; golden ratio; integer numbers; integers neural network systems; number theory; numerical holographic-like properties; resonance properties; selective sensitivity; ultrasensitive capabilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1990., 1990 IJCNN International Joint Conference on
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • DOI
    10.1109/IJCNN.1990.137678
  • Filename
    5726638