{
  "$type": "site.standard.document",
  "description": "A method for determining a state of a transmission for a vehicle, including providing an input for a first generative model depending on a route information, a vehicle speed, a probabilistic variable, and an output of a second physical model, and determining an output of the first model…",
  "path": "/patents/1296832",
  "publishedAt": "2021-08-05T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W40/09",
    "Robert Bosch GmbH"
  ],
  "textContent": "A method for determining a state of a transmission for a vehicle, including providing an input for a first generative model depending on a route information, a vehicle speed, a probabilistic variable, and an output of a second physical model, and determining an output of the first model characterizing the state in response to the input for the first model. The first model comprises a first layer trained to map input to an intermediate state. The first model comprises a second layer trained to map the intermediate state to the state depending on the output of the second model. The method includes providing an input for the second physical model depending on at least one vehicle state and/or the route information, and determining an output of the second model in response to the input for the second model. The output of the second model characterizes limit(s) for the intermediate state.",
  "title": "DEVICE, METHOD AND MACHINE LEARNING SYSTEM FOR DETERMINING A STATE OF A TRANSMISSION FOR A VEHICLE"
}