Transition of Bayesian Expert System Model for Mine Burial to NAVO

Abstract

This work supports mine burial prediction by the US Navy by transitioning the capabilities provided by state-of-the-art, high-resolution process models to Naval operations. These models are synthesized by a statistical prediction tool (the Mine Burial Expert System MBESM), which relates uncertainty in model input to uncertainty in the predicted mine burial. This work will produce more detailed and more accurate mine burial predictions and corresponding operational risk assessments.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2004
Accession Number
ADA630153

Entities

People

  • Nathaniel G. Plant

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Databases
  • Distribution Functions
  • Expert Systems
  • High Resolution
  • Information Science
  • Naval Operations
  • Navy
  • Normal Distribution
  • Probability
  • Probability Distributions
  • Risk
  • Risk Analysis
  • Shear Strength
  • Standards
  • Statistical Analysis
  • Transitions
  • Uncertainty

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal Oceanography
  • Life Cycle Cost Analysis

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy