Accession Number : ADA262093


Title :   The Use of Neural Networks for Determining Tank Routes


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Eldridge, Dwayne L


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a262093.pdf


Report Date : Sep 1992


Pagination or Media Count : 77


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.


Descriptors :   *NEURAL NETS , *PROTOTYPES , *ROUTING , *TANKS(COMBAT VEHICLES) , ALGORITHMS , COMPUTERIZED SIMULATION , SIMULATORS , BATTLEFIELDS , COMPUTER ARCHITECTURE , TECHNICIANS , BATTLES , ARMY , OCEANS , CALIBRATION , ERRORS , TIME , THESES , HUMANS , SYSTEMS ENGINEERING , SCENARIOS , LAND WARFARE


Subject Categories : Computer Systems
      Military Operations, Strategy and Tactics
      Combat Vehicles


Distribution Statement : APPROVED FOR PUBLIC RELEASE