| GA-BP网络与D-S证据相结合的多传感器信息融合 |
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| 引用本文： | 胡蓉,谭红斌,冯志宇,李云. GA-BP网络与D-S证据相结合的多传感器信息融合[J]. 重庆邮电学院学报(自然科学版), 2011, 0(2) |
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| 作者姓名： | 胡蓉 谭红斌 冯志宇 李云 |
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| 作者单位： | 重庆邮电大学;驻马店广播电视大学; |
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| 基金项目： | 重庆市科委自然科学基金(CSTC,2009BB2279)~~ |
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| 摘 要： | 针对反向传播(back propagation,BP)网络与D-S(dempster-shafer)证据理论各自在处理不确定性信息方面的不足,提出了一种遗传算法(genetic algorithms,GA)优化的BP网络与D-S证据相结合的多传感器信息融合方法。一方面利用GA-BP网络获取D-S证据理论所需的基本概率赋值,另一方面通过D-S证据理论对GA-BP网络的输出进行融合。将此方法应用于高压电器设备故障诊断,仿真结果表明,该方法能克服传统BP网络易陷入局部最优问题,同时具有更好的识别结果。
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| 关 键 词： | 遗传算法 反向传播网络 D-S证据理论 信息融合 |
Multi-sensor information fusion based on integration of GA-BP network and D-S evidence theory |
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| HU Rong,TANG Hong-bing,FENG Zhi-yu,LI Yun. Multi-sensor information fusion based on integration of GA-BP network and D-S evidence theory[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition), 2011, 0(2) |
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| Authors: | HU Rong TANG Hong-bing FENG Zhi-yu LI Yun |
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| Affiliation: | HU Rong1,TANG Hong-bing2,FENG Zhi-yu1,LI Yun1(1.Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China,2.Zhumadian Radio and TV University,Zhumadian 463000,P.R.China) |
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| Abstract: | As back propagation network and dempster-shafer evidence theory have individual defects in processing uncertain information,a method of multi-sensor information fusion is proposed based on the combination of genetic algorithms optimal BP neural network and D-S evidence theory.The basic probability assignment of D-S evidence theory can be obtained using GA-BP network.moreover,the results of GA-BP network output can be fused by D-S evidence theory.The method is applied to fault diagnosis of high-voltage elect... |
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| Keywords: | genetic algorithms back propagation network D-S evidence theory information fusion |
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