Rule-Based Systems for Visibility Forecasts

Abstract

Zeus, a prototype rule-based system for forecasting visibility, was developed and tested at three locations along the East Coast weather. Evaluation of this expert system and further studies at AFGL have led to the conclusion that, although the usefulness of such a system has been demonstrated, a more fundamental approach to the representation of the knowledge base will have to be taken if such systems are to be deployed Air Force-wide. A discussion of the structure of a meteorological knowledge-base and an outline of how a generic fog forecast system might be developed are presented in this report. Keywords: Artificial intelligence.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 14, 1989
Accession Number
ADA214622

Entities

People

  • Gerald L. Freeman
  • Rosemary M. Dyer

Organizations

  • Air Force Systems Command

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Atmospheric Sciences
  • Classification
  • Computer Programming
  • Computer Programs
  • Computers
  • Condensation
  • Expert Systems
  • High Pressure
  • Meteorology
  • North Carolina
  • Operating Systems
  • Rule Based Systems
  • Test And Evaluation
  • Topography
  • Weather Forecasting

Readers

  • Artificial Intelligence
  • Atmospheric Science/Meteorology
  • Software Engineering

Technology Areas

  • AI & ML