Expert System for Mine Burial Prediction

Abstract

The degree of mine burial is a crucial factor in Mine Counter Measure (MCM) mission planning, having a significant effect on sensor range and effectiveness. The ultimate goal of this project is to provide an mine burial prediction fleet aid for operational Navy MCM decision making that incorporates recent research in burial mechanisms and seafloor sediment behavior. This predictive tool should provide an accurate assessment of the uncertainty inherent in these complex processes and properties in order to allow realistic risk evaluation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2004
Accession Number
ADA613046

Entities

People

  • Alan Brandt
  • Sarah Rennie

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence Software
  • Bayesian Networks
  • Databases
  • Expert Systems
  • Models
  • Monte Carlo Method
  • Physics
  • Physics Laboratories
  • Probability
  • Probability Distributions
  • Sediments
  • Sensitivity
  • Shear Strength
  • Tidal Currents
  • Transitions
  • Uncertainty

Readers

  • Acoustical Oceanography.
  • Coastal Oceanography
  • Systems Analysis and Design