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基于蚁群算法的医疗人力资源应急调度设计 被引量:8
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作者 刘欣 《信息技术》 2021年第2期142-146,共5页
传统的医疗人力资源方案存在均衡度水平低、适应度差的问题,导致医疗人力资源的响应时间过长。为此,引入蚁群算法对医疗人力资源应急调度方案进行优化。文中采用线性规划算法设计医疗人力资源应急调度模型函数,结合最小二乘规划模型判... 传统的医疗人力资源方案存在均衡度水平低、适应度差的问题,导致医疗人力资源的响应时间过长。为此,引入蚁群算法对医疗人力资源应急调度方案进行优化。文中采用线性规划算法设计医疗人力资源应急调度模型函数,结合最小二乘规划模型判断应急调度过程的收敛性,建立医疗人力资源应急调度的回归分析模型。通过模拟蚂蚁在运动过程中积累的信息素分析医疗人力资源应急调度的适应度水平和均衡度水平,实现了医疗人力资源应急调度优化。仿真结果表明,所提方法的寻优能力较好,调度过程的收敛性较强,提高了医疗人力资源应急响应能力。 展开更多
关键词 蚁群算法 医疗人力资源 最小二乘规划模型 博弈控制 模糊度检测
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Similarity measure application to fault detection of flight system 被引量:5
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作者 KIM J +4 位作者 H LEE S H 王洪梅 《Journal of Central South University》 SCIE EI CAS 2009年第5期789-793,共5页
Fault detection technique is introduced with similarity measure. The characteristics of conventional similarity measure based on fuzzy number are discussed. With the help of distance measure, similarity measure is con... Fault detection technique is introduced with similarity measure. The characteristics of conventional similarity measure based on fuzzy number are discussed. With the help of distance measure, similarity measure is constructed explicitly. The designed distance-based similarity measure is applicable to general fuzzy membership functions including non-convex fuzzy membership function, whereas fuzzy number-based similarity measure has limitation to calculate the similarity of general fuzzy membership functions. The applicability of the proposed similarity measure to general fuzzy membership structures is proven by identifying the definition. To decide fault detection of flight system, the experimental data (pitching moment coefficients and lift coefficients) are transformed into fuzzy membership functions. Distance-based similarity measure is applied to the obtained fuzzy membership functions, and similarity computation and analysis are obtained with the fault and normal operation coefficients. 展开更多
关键词 similarity measure fuzzy number distance non-convex membership function
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High-speed corner detection based on fuzzy ID3 decision tree
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作者 段汝娇 赵伟 +1 位作者 黄松岭 郝宽胜 《Journal of Central South University》 SCIE EI CAS 2012年第9期2528-2533,共6页
A high-speed comer detection algorithm based on fuzzy ID3 decision tree was proposed. In the algorithm, the Bresenham circle with 3-pixel radius was used as the test mask, overlapping the candidate comers with the nuc... A high-speed comer detection algorithm based on fuzzy ID3 decision tree was proposed. In the algorithm, the Bresenham circle with 3-pixel radius was used as the test mask, overlapping the candidate comers with the nucleus. Connected pixels on the circle were applied to compare the intensity value with the nucleus, with the membership function used to give the fuzzy result. The pixel with maximum information gain was chosen as the parent node to build a binary decision tree. Thus, the comer detector was derived. The pictures taken in Fengtai Railway Station in Beijing were used to test the method. The experimental results show that when the number of pixels on the test mask is chosen to be 9, best result can be obtained. The comer detector significantly outperforms existing detector in computational efficiency without sacrificing the quality and the method also provides high performance against Poisson noise and Gaussian blur. 展开更多
关键词 comer detector fuzzy ID3 algorithm decision tree computation efficiency REAL-TIME
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基于计算机的语言生态多样性评估模型构建
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作者 杜鹏举 《自动化与仪器仪表》 2021年第3期33-36,共4页
为了提高语言生态多样性评估精度,提出基于计算机程序控制和大数据信息融合的语言生态多样性评估模型。结合语言生态多样性语义主体特征进行信息多样化融合,通过模糊度检测的方法得到评价集的优化设计,实现语言生态多样性评估和自适应... 为了提高语言生态多样性评估精度,提出基于计算机程序控制和大数据信息融合的语言生态多样性评估模型。结合语言生态多样性语义主体特征进行信息多样化融合,通过模糊度检测的方法得到评价集的优化设计,实现语言生态多样性评估和自适应收敛性控制,获得语言生态多样性评估的最优解。仿真结果表明,采用该方法进行语言生态多样性评估的自适应性较高,稳定性较好,提高了语言生态多样性评估的准确概率。 展开更多
关键词 计算机系统 语言生态多样性 信息融合 评估模型 模糊度检测 语义特征
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A novel RHT-TBD approach for weak targets in HPRF radar 被引量:6
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作者 Hongbo YU Guohong WANG +1 位作者 Wei WU Shuncheng TAN 《Science China Earth Sciences》 SCIE EI CAS CSCD 2016年第12期59-72,共14页
A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect(RHT-TBD) framework. The main idea is that, without the pre-detection and ambig... A novel approach, which can handle ambiguous data from weak targets, is proposed within the randomized Hough transform track-before-detect(RHT-TBD) framework. The main idea is that, without the pre-detection and ambiguity resolution step at each time step, the ambiguous measurements are mapped by the multiple hypothesis ranging(MHR) procedure. In this way, all the information, based on the relativity in time and pulse repetition frequency(PRF) domains, can be gathered among different PRFs and integrated over time via a batch procedure. The final step is to perform the RHT with all the extended measurements, and the ambiguous data is unfolded while the detection decision is confirmed at the end of the processing chain.Unlike classic methods, the new approach resolves the problem of range ambiguity and detects the true track for targets. Finally, its application is illustrated to analyze and compare the performance between the proposed approach and the existing approach. Simulation results exhibit the effectiveness of this approach. 展开更多
关键词 high pulse repetition frequency weak targets TRACK-BEFORE-DETECT randomized Hough transform multiple hypothesis ranging range ambiguity resolution
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