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Titre du document / Document title

Neural network models of human operator performance

Auteur(s) / Author(s)

MAY A. (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Centre for Defence Analysis, Farnborough, ROYAUME-UNI

Résumé / Abstract

This paper examines the feasibility of using neural networks to represent the effects of human operators in computer models of complex man-machine systems. In the suggested approach, data from man-in-the-loop simulators are used to train the networks. The method has been tested on several typical data sets using a stand-alone prototype system, consisting of a three-layer feed-forward network with a Chemotaxis training algorithm. Successful results have been obtained, and these can be used to place constraints on the quality, quantity and type of simulator data required in future applications.

Revue / Journal Title

Aeronautical Journal    ISSN  0001-9240   CODEN AENJAK 

Source / Source

Congrès
The role of intelligent systems in defence. Conference, Oxford , ROYAUME-UNI (03/1995)
1997, vol. 101, no1004, pp. 155-158 (13 ref.)

Langue / Language

Anglais

Editeur / Publisher

Royal Aeronautical Society, London, ROYAUME-UNI  (1968) (Revue)

Mots-clés anglais / English Keywords

Neural network

;

Man machine system

;

Human operator

;

Performance

;

Target detection

;

Tracking(movable target)

;

Weapon

;

Military application

;

Mots-clés français / French Keywords

Réseau neuronal

;

Système homme machine

;

Opérateur humain

;

Performance

;

Détection cible

;

Poursuite

;

Arme

;

Application militaire

;

Mots-clés espagnols / Spanish Keywords

Red neuronal

;

Sistema hombre máquina

;

Operador humano

;

Rendimiento

;

Detección blanco

;

Persecución y continuación

;

Arma

;

Aplicación militar

;

Localisation / Location

INIST-CNRS, Cote INIST : 985, 35400006547518.0020

Nº notice refdoc (ud4) : 2647480



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