利用神经网络进行人为环境分析

2017 International Conference on Mechanical, System and Control Engineering (ICMSC) Pub Date : 2017-05-01 DOI:10.1109/ICMSC.2017.7959500

V. Ruchkin, A. Kolesenkov, B. Kostrov, A. Taganov, E. Ruchkina

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引用次数: 2

摘要

本文针对人为突发事件监测任务，提出了基于网络物理系统、云计算和超级计算机的地面、空中和地表三维遥感探测技术。本文以关键基础设施的火灾监测为例，介绍了网络物理系统的信息、操作和算法支持，并描述了人为紧急情况监测的用户界面。本文综述了基于mb7707神经处理器和现代nm6407的网络物理系统组件分层智能通信结构，利用模糊集对不确定条件下的数据进行专门处理，降低决策风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Means of neural network for the anthropogenic environment analysis

The article offers a technology of usage of the tree- dimensional ground-based, air-based and remote sounding of the Earth surface based on cyber-physical systems, cloud computing and supercomputers according to the tasks of monitoring of the anthropogenic emergency situations. The article is devoted to the informational, operational and algorithmic support of the cyber physical system as exemplified by fire monitoring on the critical infrastructure, and describes the user interface for anthropogenic emergency situation monitoring. The article summarizes on hierarchical intelligent telecommunication structures of the cyber physical system components on the base of MB 7707 neuroprocessor and modern NM 6407 for reducing the risks connected with decision making by means of specialized data processing in the conditions of uncertainty with the usage of fuzzy sets.

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2017 International Conference on Mechanical, System and Control Engineering (ICMSC)

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