A support vector machine model for the situation awareness system

被引：0

作者：

Liu, Bo ^{[1
]}

Lu, Jie ^{[1
]}

Zhang, Guangquan ^{[1
]}

Hao, Zhifeng

Gao, Ya ^{[1
]}

机构：

[1] Univ Technol Sydney, Fac Informat Technol, Sydney, NSW 2007, Australia

来源：

PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON RISK ANALYSIS AND CRISIS RESPONSE | 2007年 / 2卷

关键词：

situation awareness; machine learning; support vector machine; information systems;

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 to describe the challenges faced by us when interacting with controlled systems or work environments through technological interfaces. This paper first gives a mathematical description for SA. It then classifies all the possibilities of SA functions into classification and regression problems which can be readily resolved by some machine learning tools. Based on the results, this paper constructs a support vector machine model to deal with the two types of issues of SA.

引用

页码：244 / 248

页数：5

共 15 条

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