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Device and method for classifying objects in an environmentally adaptive manner

  • US 5,949,367 A
  • Filed: 02/13/1998
  • Issued: 09/07/1999
  • Est. Priority Date: 02/20/1997
  • Status: Expired due to Fees
First Claim
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1. A device for the automatic classification of an object by means of Doppler-broadened radar echo signals reflected by the object and received by a radar receiver, the device including a neural network (NET) with an input layer (IL) of input nodes (IN1, . . . , IN57) for inputting features (M) of the Doppler-broadened radar echo signals, and an output layer (OL) of output nodes (ON1, ON2, ON3) each corresponding to a class in a predetermined group of classes into one of which the object can be allocated, characterized in that the neural network (NET) has at least one additional input node (ZN1, ZN2) into which control information (SI) can be entered, for causing the neural network (NET) to adapt to an external influence factor.

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