System for identifying objects by means of distributed neural networks

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 ne...

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Bibliographische Detailangaben
1. Verfasser:	Feigenbutz, Michael
Format:	Patent
Sprache:	eng
Schlagworte:	AEROPLANES AIRCRAFT AVIATION CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COSMONAUTICS COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY HELICOPTERS PERFORMING OPERATIONS PHYSICS TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION TRANSPORTING
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Beschreibung
Zusammenfassung:	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.