The Use of Neural Networks for Determining Tank Routes

Abstract

The U.S. Army uses a combat simulator, Janus(A), to simulate high- tech ground battle exercises. The algorithms used to represent battlefield behavior and to generate battle scenarios must be calibrated by well-trained, combat-experienced technicians. The calibration is time-consuming and subject to human errors. A Single Exercise Analysis System (SEAS) is under development for automating and improving the battle scenario generation process for Janus(A). A neural network based model has been proposed to support the route determination process within SEAS. The purpose of this thesis is to (1) determine the best neural network architecture for determining tank routes and (2) develop a prototype for generating these routes.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA262093

Entities

People

  • Dwayne L. Eldridge

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Battlefields
  • Calibration
  • Computer Programming
  • Computers
  • Computing System Architectures
  • Demographic Cohorts
  • Information Systems
  • Machine Learning
  • Mathematical Models
  • Models
  • Network Architecture
  • Neural Networks
  • Prototypes
  • Simulations
  • Simulators
  • Warfare

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Military Science

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks