Patent ID: 11954923
Assignee: RENUMICS GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for rating a state of a three-dimensional test object by taking into consideration a prescribed assessment task and by using a rating system comprising a neural network, the method comprising: providing and/or using a training data record comprising multiple state data points from one or more three-dimensional training objects, wherein the training data record includes a known state rating in regard to the prescribed assessment task for each of the state data points, using the training data record to parameterize the neural network of the rating system in a training process to adapt the rating system to the prescribed assessment task, and in an execution process using the adapted rating system, calculating a state rating for a prescribed state data point of the test object, wherein the state data points of the one or more training objects and the state data point of the test object each comprise spatial state data, wherein the spatial state data are converted into the form of a regular grid, and wherein the spatial state data are represented as a tensor of stage N+3, where N is the order of the state data per grid point.