{
  "$type": "site.standard.document",
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  "description": "A probabilistic neural network, comprising a hidden layer of neurons, each computing respective membership matrix elements for an input vector of the neural network according to a respective radial basis function defined by a respective spread factor and according to the distance of the input…",
  "path": "/patents/1016498",
  "publishedAt": "2011-01-19T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "F02D35/023",
    "ST MICROELECTRONICS SRL [IT]"
  ],
  "textContent": "A probabilistic neural network, comprising a hidden layer of neurons, each computing respective membership matrix elements for an input vector of the neural network according to a respective radial basis function defined by a respective spread factor and according to the distance of the input vector from a respective constant vector, wherein said hidden layer comprises at least two neurons having different spread factors (S). [0002] A method of training the novel probabilistic neural network is also disclosed.",
  "title": "Probabilistic neural network and relative training method"
}