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DEVELOPMENT OF A BAYESIAN BELIEF NETWORK RUNWAY INCURSION AND EXCURSION MODEL

Semantic Scholar · Article · 3798d28ba8019ac47b3082ec5b021f7b82c6d3d7 · Published 2014-10-15 · 1 author

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Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Semantic Scholar.

Abstract

The combined system-level BBN model will allow NASA to generically model the causes of RI and RE events and to assess the effectiveness of technology products being developed under NASA funding.

Author

  • L. Green

Keywords

  • Engineering
  • Computer Science

Citation

L. Green (2014). DEVELOPMENT OF A BAYESIAN BELIEF NETWORK RUNWAY INCURSION AND EXCURSION MODEL. Semantic Scholar ID 3798d28ba8019ac47b3082ec5b021f7b82c6d3d7. https://www.semanticscholar.org/paper/3798d28ba8019ac47b3082ec5b021f7b82c6d3d7 ↗