期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于Dignet无监督学习聚类算法的智能火灾探测 被引量：1

Intelligent fire detection based on unsupervised learning clustering algorithm of Dignet
下载PDF
导出
摘要 介绍了一种基于Dignet ANN无监督学习聚类算法和自适应模糊控制算法的智能火灾探测算法模型.详细阐述了算法模型的思想和实现,给出了环境模式阈值自适应的方法和简单的多类型火灾探测器探测数据融合的方法,较好地解决了环境阈值的自适应问题.在实验室条件下利用欧洲标准火对算法进行了检测,结果表明该智能算法可以有效地对火灾进行探测. An algorithm for intelligent fire detection was proposed, which is based on the Dignet ANN and fuzzy algorithm. The idea and implementation of the detection algorithm were introduced in detail. Method for self-adaptation to environment thresholds and for primary data fusion of multi-type fire detectors were given. The algorithm was successfully tested with European standard experimental fire in laboratory.
作者 李权威 宛田宾 秦俊 廖光煊
机构地区 中国科学技术大学火灾科学国家重点实验室 新奥博为技术有限公司
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2009年第7期769-776,782,共9页 JUSTC
基金 中国科学技术大学研究生创新基金(KD2007083)资助
关键词 神经网络 Dignet 无监督学习 自适应模糊算法 智能火灾探测 数据融合 neural networks Dignet unsupervised learning adaptive fuzzy algorithm intelligent fire detection data fusion
分类号 X924 [环境科学与工程—安全科学]
  • 相关文献

参考文献11

  • 1Wang Xi-huai, Xiao Jian-mei, Bao Min-zhong. A ship fire alarm system based on fuzzy neural network[C]// Proceedings of the 3rd World Congress on Intelligent Control and Automation. Hefei: University of Science and Technology of China Press, 2000:1 734-1 736.
  • 2Jones W W. Development of a multi-criteria algorithm for fast and reliable fire detection[C]//Proceedings of the 13th International Conference on Automatic Fire Detection. 2004:184-195.
  • 3牛丽红,倪国强,苏秉华.一种新的自组织聚类网络及其在数据融合目标分类中的应用[J].光学技术,2003,29(1):66-68. 被引量：3
  • 4牛丽红,苏秉华,倪国强.基于DIGNET网络的数据融合方法[J].光学技术,2006,32(2):171-173. 被引量：2
  • 5Wann C D, Thomopoulos S C. Unsupervised learning neural networks with applications to data fusion[C]// Proceeding of 1994 American Control Conference. 1994:1 361 -1 365.
  • 6Thomopoulos S C A, Bougoulias D K, Wann C D. Dignet: an unsupervised-learning clustering algorithm for clustering and data fusion[J].IEEE Transactions on Aerospace and Electronic Systems, 1995, 31 (1) : 21-38.
  • 7Carpenter G A, Grossberg S. ART2: Self-organization of stable category recognition codes for analog input patterns[J]. Allpied Optics, 1987, 26 (23):4 919-4 930.
  • 8Wang De-min, Wu Long-biao, Wu Zhen-kun.A fire detection system using self-adaptive clustering algorithm[C]//Proceedings of the 2002 International Symposium on Safety Science and Technology. Beijing: Science Press, 2002:1 214-1 219.
  • 9Wann C D, Thomopoulos S C A. A comparative study of self-organizing clustering algorithms Dignet and ART2[J].Neural Networks, 1997,10(4) :737-753.
  • 10Wann C D, Thomopoulos S C A. Application of self-organizing neural networks to multiradar data fusion[J]. Optical Engineering, 1997,36(3) : 799-813.

二级参考文献12

  • 1[1]Dasarathy B V. Sensor Fusion [J]. Opt.Eng.1996, 35:601-602.
  • 2[2]Klein L A. Sensor and data fusion concepts and applications[M]. SPIE Optical Engineering Press, Bellingham, Washington, USA, 1998.
  • 3[3]Thomopoulos S C A, Bougoulias D K. Dignet: An unsupervised-learning clustering algorithm for clustering and data fusion[J]. IEEE. Transactions on AES, 1995,31(1):21-38.
  • 4[4]Thomopoulos S C A. Decision and evidence fusion in sensor integration[M]. Advances in control and dynamic systems, 1991 :45-48.
  • 5[5]Kohonen T. The self-organizing map[C]. Proceedings of the IEEE (Special Issue on Neural Networks I:Theory and Modeling), 1990:1464-1480.
  • 6[6]Niu L H, Ni G Q. CPN based multi-sensor fusion for target classification[C]. The Second ICIG, 2002.
  • 7Waml C D, Thomopoulos S C A. Clustering with unsupervised learning neural networks: a comparative study[J]. Proceedings of SHE, 1993, 1965: 346-357.
  • 8Thomopoulos S C A, Papadakis I N M, et al. Centralized and distributed decision making with structured adaptive networks, pereeptro-like, and self-organizing neural networks[J]. Proceedingsof SHE, 1992, 1611: 434-442.
  • 9Robert J P. A new neural network architecture for the fusion of independent sensor decision[J]. Proceedings of SHE, 1994, 2232;521-525.
  • 10Thomopoulos S C A, Bongoulias D K0 et al. Dignet. an unssupervised-leaming clustering algorithm for clustering and data fusion[J]. IEEE Transactions on AES, 1995, 31(1) : 21-38.

共引文献3

同被引文献4

引证文献1

中国科学技术大学学报
2009年 第7期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部