Real-Time Event Risk Assessment (RTERA) Using Artificial Neural Networks

机译：使用人工神经网络的实时事件风险评估（RTERA）

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

This paper describes a novel technique that is being developed to create a decision aid for Real-Time Event Risk Assessment (RTERA). RTERA allows the user to enter Real-Time Events (RTEs) during a mission to identify and prioritise risks in relation to the mission. This decision aid uses Conventional Programming Techniques that use an Algorithmic approach to reach a specific result and also use Artificial Neural Networks (ANNs) to interpret RTEs and produce relative risks to the mission. Information on the current mission is entered, including which systems are to be used, the area of operation and the environmental conditions. The RTERA 'user' will be able to choose from a list of RTEs that will be determined during the development phase by a risk analysis of the platform/mission combination. The model then uses this information to determine a list of risk factors and their priorities in relation to the mission. The use of ANNs and Conventional Programming Techniques allows for previously undefined missions to be entered and appropriate risks to be displayed.

机译：本文介绍了一种新技术，该技术正在开发中，可以为实时事件风险评估（RTERA）创建决策辅助工具。 RTERA允许用户在任务执行期间输入实时事件（RTE），以识别和确定与任务相关的风险并确定优先级。该决策辅助工具使用常规编程技术，该技术使用算法方法来获得特定结果，并且还使用人工神经网络（ANN）来解释RTE，并对任务产生相对风险。输入有关当前任务的信息，包括要使用的系统，操作区域和环境条件。 RTERA“用户”将能够从RTE列表中进行选择，这些RTE将在开发阶段通过对平台/任务组合的风险分析来确定。然后，模型使用此信息来确定与任务有关的风险因素及其优先级的列表。使用人工神经网络和常规编程技术可以输入以前未定义的任务并显示适当的风险。

著录项

来源
《Innovate integrate amp; invigorate》|2001年|p.1-7|共7页
会议地点 Melbourne(AU)
作者
R.B. Gronlund; rnA.L. Simcock;
展开▼
作者单位

School of Communication and Informatics Faculty of Engineering and Science Victoria University of Technology Department of Defence, Australia;

rnMaritime Platforms Division Aeronautical and Maritime Research Laboratories Defence Science and Technology Organisation Department of Defence, Australia;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类系统工程;
关键词

相似文献

外文文献
中文文献
专利

1. Mortality assessment in intensive care units via adverse events using artificial neural networks [J] . Alvaro Silva, Paulo Cortez, Manuel Filipe Santos, Artificial intelligence in medicine . 2006,第3期

机译：使用人工神经网络通过不良事件评估重症监护病房的死亡率
2. Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies [J] . V. Meruane, J. Mahu Shock and vibration . 2014,第pta1期

机译：使用人工神经网络和反共振频率进行实时结构损伤评估
3. Real-Time Structural Damage Assessment Using Artificial Neural Networks and Antiresonant Frequencies [J] . V.Meruane, J.Mahu Shock and vibration . 2014,第5期

机译：使用人工神经网络和反共振频率进行实时结构损伤评估
4. Real-Time Event Risk Assessment (RTERA) Using Artificial Neural Networks [C] . International Council on Systems Engineering annual international symposium . 2001

机译：使用人工神经网络的实时事件风险评估（Rtera）
5. Adverse medical event reduction technologies: Identification of primary risk factors of adverse medical events using artificial neural networks. [D] . Rideout, Karen. 2006

机译：减少不良医疗事件技术：使用人工神经网络识别不良医疗事件的主要危险因素。
6. Assessment of risk based on variant pathways and establishment of an artificial neural network model of thyroid cancer [O] . Yinlong Zhao, Lingzhi Zhao, Tiezhu Mao, 2019

机译：基于变异途径的风险评估和甲状腺癌的人工神经网络模型的建立
7. Use of Artificial Neural Network as a Risk Assessment Tool In Preventing Child Abuse [O] . Iraj Zandi 2009

机译：使用人工神经网络作为预防虐待儿童的风险评估工具
8. Dynamic modeling of physical phenomena for probabilistic risk assessments using artificial neural networks [R] . Benjamin, A. S. , Paez, T. L. , Brown, N. N. 1998

机译：使用人工神经网络进行概率风险评估的物理现象动态建模

Real-Time Event Risk Assessment (RTERA) Using Artificial Neural Networks

摘要

著录项

相似文献

相关主题

期刊订阅