Programming Risk Assessment Models for Online Security Evaluation Systems

被引：0
|
作者：
Abraham, Ajith
Grosan, Crina
Snasel, Vaclav
机构：
来源：
UKSIM 2009: ELEVENTH INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION | 2009年
关键词：
D O I：
10.1109/UKSIM.2009.75
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Risk assessment is often done by human experts, because there is no exact and mathematical solution to the problem. Usually the human reasoning and perception process cannot be expressed precisely. This paper propose a genetic programming approach for risk assessment. Preliminary results indicate that genetic programming methods are robust and suitable for this problem when compared to other risk assessment models.
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页码：41 / 46
页数：6
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