It’s common that different individuals share the same name, which makes it time-consuming to search information of a particular individual on the web. Name disambiguation study is necessary to help users find the per...It’s common that different individuals share the same name, which makes it time-consuming to search information of a particular individual on the web. Name disambiguation study is necessary to help users find the person of interest more readily. In this paper, we propose an Adaptive Resonance Theory (ART) based two-stage strategy for this problem. We get a first-stage clustering result with ART1 model and then merge similar clusters in the second stage. Our strategy is a mimic process of manual disambiguation and need not to predict the number of clusters, which makes it competent for the disambiguation task. Experimental results show that, in comparison with the agglomerative clustering method, our strategy improves the performance by respectively 0.92% and 5.00% on two kinds of name recognition results.展开更多
In this paper, we study about a method to optimize the fused track quality in intelligence network of radar target fusion system, considering the role of people in the fusion system;we start to find ways to optimize t...In this paper, we study about a method to optimize the fused track quality in intelligence network of radar target fusion system, considering the role of people in the fusion system;we start to find ways to optimize the quality of the fused track, and adaptive smoothing method is proposed based on fuzzy theory. Tests show that this method can greatly improve the quality of the fused track system for battlefield reconnaissance provides high-quality, high-reliability battlefield.展开更多
The synchronization of a novel fractional-order memristorbased chaotic system is investigated.And an adjustable adaptive controller is designed to achieve the synchronization of this system.By adjusting the control co...The synchronization of a novel fractional-order memristorbased chaotic system is investigated.And an adjustable adaptive controller is designed to achieve the synchronization of this system.By adjusting the control coefficients of the controller,drive-response system can achieve many different types of synchronization such as adaptive synchronization,projective synchronization and antisynchronization.The sufficient condition for the synchronization has been analyzed by the stability theory of fractional-order differential system.Finally,numerical simulations are used to demonstrate that the proposed adaptive controller is effective and correct.展开更多
As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by th...As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.展开更多
文摘It’s common that different individuals share the same name, which makes it time-consuming to search information of a particular individual on the web. Name disambiguation study is necessary to help users find the person of interest more readily. In this paper, we propose an Adaptive Resonance Theory (ART) based two-stage strategy for this problem. We get a first-stage clustering result with ART1 model and then merge similar clusters in the second stage. Our strategy is a mimic process of manual disambiguation and need not to predict the number of clusters, which makes it competent for the disambiguation task. Experimental results show that, in comparison with the agglomerative clustering method, our strategy improves the performance by respectively 0.92% and 5.00% on two kinds of name recognition results.
文摘In this paper, we study about a method to optimize the fused track quality in intelligence network of radar target fusion system, considering the role of people in the fusion system;we start to find ways to optimize the quality of the fused track, and adaptive smoothing method is proposed based on fuzzy theory. Tests show that this method can greatly improve the quality of the fused track system for battlefield reconnaissance provides high-quality, high-reliability battlefield.
基金National Natural Science Foundation of China(No.61201227)
文摘The synchronization of a novel fractional-order memristorbased chaotic system is investigated.And an adjustable adaptive controller is designed to achieve the synchronization of this system.By adjusting the control coefficients of the controller,drive-response system can achieve many different types of synchronization such as adaptive synchronization,projective synchronization and antisynchronization.The sufficient condition for the synchronization has been analyzed by the stability theory of fractional-order differential system.Finally,numerical simulations are used to demonstrate that the proposed adaptive controller is effective and correct.
基金supported by the National Natural Science Foundation of China(61571043)the 111 Project of China(B14010)。
文摘As a core part of the electronic warfare(EW) system,de-interleaving is used to separate interleaved radar signals. The de-interleaving algorithm based on the fuzzy adaptive resonance theory(fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma. This study proposes a dual fuzzy vigilance ART(DFV-ART) algorithm to address these problems and make the following improvements. Firstly, a correction method is introduced to prevent the network from prematurely saturating;then, the fuzzy vigilance models(FVM) are constructed to replace the conventional vigilance parameter, reducing the error probability in the overlapping region;finally, a dual vigilance mechanism is introduced to solve the performance improving dilemma. Simulation results show that the proposed algorithm could improve the clustering accuracy(quantization error dropped60%) and the de-interleaving performance(clustering quality increased by 10%) while suppressing the excessive proliferation of categories.
文摘面向未来5G和卫星网构成的空地高通量互联场景,为实现飞机着陆风险提前预警.首先基于统计与模型,建立了一套以多源运行实时数据为主,融合历史统计和专家知识的着陆预警体系;然后,针对现有研究计算结果滞后问题,先通过对ARJ21飞机着陆过程快速存取记录器(QAR)数据的聚类分析,将飞行员着陆操作模式分为4类,进而构建基于决策场理论的飞行员着陆操作模式预测模型,计算并讨论不同场景下、不同个性飞行员的着陆模式选择;在上述基础上,针对着陆过程的复杂性和不确定性,提出一种分层计算的置信规则库推理方法,融合定性与定量信息实现着陆动态风险评估和预警.最后,通过对“2020.10.16攀枝花跑道外接地事件”和“2010.8.2伊春空难”着陆过程的风险推理验证了预警方法的有效性,其中攀枝花事件提前预警时间可达13 s.
