{
  "id": "1908.10493",
  "version": "v1",
  "published": "2019-08-27T23:20:34.000Z",
  "updated": "2019-08-27T23:20:34.000Z",
  "title": "The Function Representation of Artificial Neural Network",
  "authors": [
    "Zhongkui Ma"
  ],
  "categories": [
    "cs.LG",
    "math.FA",
    "stat.ML"
  ],
  "abstract": "This paper expresses the structure of the artificial neural network as a functional form, using the activation integral concept derived from the activation function. In this way, the structure of the neural network can be represented by a simple function, and it is possible to find the mathematical solution of the ANN. Thus, it can be recognized that the current ANN can be placed in a larger and more reasonable framework. Perhaps all questions about ANN will be eliminated.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-08-27T23:20:34.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "artificial neural network",
      "function representation",
      "activation integral concept",
      "simple function",
      "functional form"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}