SUPPORTING SITUATION AWARENESS USING NEURAL NETWORK AND EXPERT SYSTEM

被引：0

作者：

Naderpour, Mohsen ^{[1
]}

Lu, Jie ^{[1
]}

机构：

[1] Univ Technol, Fac Engn & Informat Technol, Ctr Quantum Computat & Intelligent Syst QCIS, Decis Syst & E Serv Intelligence Lab,Sch Software, Broadway, NSW 2007, Australia

来源：

UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING | 2012年 / 7卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Situation awareness (SA) is a critical factor for human decision making and performance in dynamic environments. Actually SA is a mental model of the current state of the environment and includes many types of complex systems such as safety supervisory systems. The current paper employs two focus areas including neural network and expert system for maintaining SA in a safety supervisory system. The neural network components provide adaptive mechanisms for perception, and the expert system offers the ability to support comprehension and projection.

引用

页码：993 / 998

页数：6

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