Scientific paper ID 30 : 2004/1
Comparison Of Seven Weight Initialization Methods For BPNN Tracking Filter

Mimi Daneva

In this paper an experimental comparison among seven different methods for weight initialization of a BPNN filter for tracking on non-maneuvering aircrafts is presented. The performances of the BPNN tracking filter using different weight initialization are evaluated and compared with standard recursive Kalman filter. A Monte Carlo verification of the results is done. An illustrative example using recorded real radar database is shown.


обработка на радиолокационна информация невронни мрежи с обратно разпространение на грешката radar data processing back-propagation neural net radar data processing back-propagation neural networksMimi Daneva

 

 

 

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