{
  "id": "cond-mat/0007074",
  "version": "v1",
  "published": "2000-07-05T14:01:32.000Z",
  "updated": "2000-07-05T14:01:32.000Z",
  "title": "Robust chaos generation by a perceptron",
  "authors": [
    "A. Priel",
    "I. Kanter"
  ],
  "comment": "7 pages, 5 figures (reduced quality), accepted for publication in EuroPhysics Letters",
  "journal": "EuroPhysics Letters 51 (2), p. 230 (2000)",
  "doi": "10.1209/epl/i2000-00521-4",
  "categories": [
    "cond-mat.dis-nn",
    "nlin.CD"
  ],
  "abstract": "The properties of time series generated by a perceptron with monotonic and non-monotonic transfer function, where the next input vector is determined from past output values, are examined. Analysis of the parameter space reveals the following main finding: a perceptron with a monotonic function can produce fragile chaos only whereas a non-monotonic function can generate robust chaos as well. For non-monotonic functions, the dimension of the attractor can be controlled monotonically by tuning a natural parameter in the model.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2000-07-05T14:01:32.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "robust chaos generation",
      "perceptron",
      "non-monotonic function",
      "past output values",
      "non-monotonic transfer function"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 7,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}