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- W2171577654 abstract "This paper examines the issues associated with training and applying artificial neural networks (As) for tracking in the ocean environment. To this end, bhe tracking problem and traditional approaches are briefly described with factors affecting performance delineated, The ability to integrate with other tracking methods to provide the robustness and flexibility desired in undersea tracking systems is expr'ored. In particular, methods for selecting training cases and candidate system architectureS are discumed. As an illustrative example, an ANN trained to map angle-of-arrival measurements into contact state Parameters is presented. Performance is revealed through comparing simulation results relative to the Cramer-Kao lower bound." @default.
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- W2171577654 date "2005-08-24" @default.
- W2171577654 modified "2023-09-27" @default.
- W2171577654 title "On Training Artificial Neural Networks for Tracking in the Ocean Environment" @default.
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- W2171577654 doi "https://doi.org/10.1109/oceans.1992.612667" @default.
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