基于粗糙集-神经网络的矿井通风系统可靠性评价仿真研究

王洪德;马云东

系统工程理论与实践 ›› 2005, Vol. 25 ›› Issue (7) : 81-86.

PDF(182 KB)
PDF(182 KB)
系统工程理论与实践 ›› 2005, Vol. 25 ›› Issue (7) : 81-86. DOI: 10.12011/1000-6788(2005)7-81
论文

基于粗糙集-神经网络的矿井通风系统可靠性评价仿真研究

    王洪德(1),马云东(2)
作者信息 +

Study on Ventilation System Evaluation Simulation Based on Rough Set and Artificial Neuron Network

    Hong De WANG(1),Yun Dong MA(2)
Author information +
文章历史 +

摘要

通过对矿井通风系统可靠性运行状态的跟踪统计和分析,首先建立了一套适合于矿井通风系统可靠性评价指标体系;然后利用人工神经网络与粗糙集理论的优势互补,以粗糙集作为前置处理系统优化指标结构,构建了基于粗糙集神经网络的通风系统可靠性评价仿真模型,并依此模型进行了实例验证.结果表明,该模型的仿真结论与基于ANN的结论完全吻合,训练效率提高了数百倍.

Abstract

Follow the tracks of statistic and analyses to ventilation system reliability running state, set up a suit of reliability evaluating indexes' system adapted to it firstly; and then making use of the complementary superiority of ANN and RS each other, taking RS for former disposal system to optimize the indexes structure, constructed ventilation system evaluating simulation model basing on RS and ANN, and put it up to the example validation. The results indicate that the simulating conclusion of this model c...

关键词

通风系统可靠性 / 评价指标体系 / 粗糙集(RS) / 神经网络(ANN)

Key words

ventilation system reliability / evaluation indexes system / rough set(RS) / artificial neuron network(ANN)

引用本文

导出引用
王洪德 , 马云东. 基于粗糙集-神经网络的矿井通风系统可靠性评价仿真研究. 系统工程理论与实践, 2005, 25(7): 81-86 https://doi.org/10.12011/1000-6788(2005)7-81
Hong De WANG , Yun Dong MA. Study on Ventilation System Evaluation Simulation Based on Rough Set and Artificial Neuron Network. Systems Engineering - Theory & Practice, 2005, 25(7): 81-86 https://doi.org/10.12011/1000-6788(2005)7-81
PDF(182 KB)

330

Accesses

0

Citation

Detail

段落导航
相关文章

/