Patent ID: 11875265
Assignee: ROBERT BOSCH GMBH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. An artificial neural network, comprising: an input layer, a feature being predefinable for the input layer; and an output layer, the artificial neural network being configured to assign an identifier to the feature from the input layer in a prediction in the output layer, the feature characterizing term candidates from a corpus, the corpus including a text from a domain, the identifier characterizing at least three classes for the term candidates that differ from one another, different classes indicating different degrees of association of the term candidates to the domain; wherein the artificial neural network includes at least one first input layer to which a compound and its components are predefinable for a first feature, the artificial neural network including at least one second input layer for which a productivity and a frequency of the components are predefinable fora second feature, the output layer being situated downstream from the first and second input layers and outputting the identifier in the prediction as a function of the first feature and of the second feature.