Target Tracking with Recurrent Artificial Neural Network

W. Juszkiewicz

doi:10.1109/irs.2006.4338062

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JOURNAL ARTICLE

Target Tracking with Recurrent Artificial Neural Network

W. Juszkiewicz

Year: 2006 Vol: 823 Pages: 1-4

DOI: 10.1109/irs.2006.4338062

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Abstract

Numerical methods of traffic estimation used in ARPA devices make it possible to obtain stable and accurate information on tracked targets. It should be stressed, however, that these methods are time-consuming and involve complex calculations. An alternative might be provided by the application of artificial neural networks with feedback in the estimation process.

Keywords:

Artificial neural network Computer science Artificial intelligence Process (computing) Tracking (education) Machine learning Types of artificial neural networks Recurrent neural network

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Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Sensor Technology and Measurement Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Target Tracking with Recurrent Artificial Neural Network

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