{
  "id": "cond-mat/9910500",
  "version": "v1",
  "published": "1999-10-29T22:26:28.000Z",
  "updated": "1999-10-29T22:26:28.000Z",
  "title": "Generalization in the Hopfield Model",
  "authors": [
    "Leonid B. Litinskii"
  ],
  "comment": "RevTEX, 11 pages, 2 Postscript figures, the poster presentation on the \"Neural Computation in Science and Technology\" (October 10-13, Maale ha Chamisha, Israel)",
  "categories": [
    "cond-mat.dis-nn",
    "q-bio"
  ],
  "abstract": "In the Hopfield model the ability of the network to generalization is studied in the case of the network trained by one input image ({\\it the standard}).",
  "revisions": [
    {
      "version": "v1",
      "updated": "1999-10-29T22:26:28.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "hopfield model",
      "generalization",
      "input image"
    ],
    "note": {
      "typesetting": "RevTeX",
      "pages": 11,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "1999cond.mat.10500L"
    }
  }
}