Abstract: In a system for identifying objects by means of distributed neural networks a resource-intensive proportion of the neural network is provided at a base station (on the ground), whereas a less resource-intensive proportion of the neural network, in particular the remaining proportion of the neural network, is provided at a front end (for example remote-controlled vehicle). The technical complexity for the front-end side and for the transmission of data between the base station and front end can thus be reduced.

Abstract: A method for training a neural network has the steps of:—providing a neural network (8), which is to be trained, for providing a prescribed functionality for processing input data (10), having an input for supplying the input data (10) and an output for outputting output data (11) serving as results;—providing an evaluation device (1) for providing a prescribed functionality, having an input for supplying input data (3) and an output for outputting output data (4) serving as results;—operating the evaluation device (1) and the neural network (8) in parallel with one another;—comparing the output data (4) from the evaluation device (1) with the output data (11) from the neural network (8) and determining the quality of the output data (11) from the neural network (8) in relation to the output data (4) from the evaluation device (1);—reporting the quality of the output data (11) to the neural network (8).

Abstract: In a system for identifying objects by means of distributed neural networks a resource-intensive proportion of the neural network is provided at a base station (on the ground), whereas a less resource-intensive proportion of the neural network, in particular the remaining proportion of the neural network, is provided at a front end (for example remote-controlled vehicle). The technical complexity for the front-end side and for the transmission of data between the base station and front end can thus be reduced.

Abstract: A computer system having a plurality of mutually independently operating processor systems, coupling elements and a system bus which connects the processor systems and a central decision logic unit for administering the system bus. The computer system includes at least two processor subsystems that are connected by the system bus and each includes a plurality of the independently operating local processor systems. The local processor systems of a processor subsystem are connected with one another or with the system bus by way of a coupling element. A decision logic unit within the coupling element here determines, as a function of a fixed priority rule, the sequence of processing of communications requests.