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子群结构下的组织学习多主体仿真研究——对March的探索式-利用式学习模型的扩展 被引量:4
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作者 林润辉 米捷 《系统管理学报》 CSSCI CSCD 北大核心 2017年第5期906-915,共10页
将子群结构纳入March经典的探索式-利用式组织学习模型,利用多主体建模与仿真的方法,研究人际-群际间多种学习机制对组织知识水平的影响。研究结果表明,当组织中的隐性知识比重增大时,人际学习对组织知识水平的增长作用会更明显。提高... 将子群结构纳入March经典的探索式-利用式组织学习模型,利用多主体建模与仿真的方法,研究人际-群际间多种学习机制对组织知识水平的影响。研究结果表明,当组织中的隐性知识比重增大时,人际学习对组织知识水平的增长作用会更明显。提高子群间人际学习的速度仅能增大短期内组织知识水平的增量;扩大个体向其他子群知识搜寻的范围,有助于长期内组织知识水平的提高。群体间直接编码学习对组织知识水平增长的促进作用不明显,且随着各子群知识本地化程度的增大,这种高度的利用式学习反而会阻碍组织知识水平的提高。子群间的外部环境差异性减弱了子群间人员交流学习频率和子群对外来优秀个体的知识编码速度的提高对于组织知识水平增长的促进作用。 展开更多
关键词 子群结构 探索式学习 利用式学习 组织学习 多主体仿真
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基于结构聚类的图像去噪 被引量:5
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作者 黎思敏 何坤 +1 位作者 龙辉 周激流 《计算机应用研究》 CSCD 北大核心 2013年第4期1234-1236,1262,共4页
为了克服传统BM3D去噪算法的不足,根据图像局部结构相似性提出了基于结构聚类的图像去噪算法。首先根据均值进行粗聚类构成块群;其次利用鲁棒数据归一化构造结构相似子群;最后对子群进行去噪,如果子群容量大于1,运用BM3D对该子群进行去... 为了克服传统BM3D去噪算法的不足,根据图像局部结构相似性提出了基于结构聚类的图像去噪算法。首先根据均值进行粗聚类构成块群;其次利用鲁棒数据归一化构造结构相似子群;最后对子群进行去噪,如果子群容量大于1,运用BM3D对该子群进行去噪处理,反之,运用基于阈值的DCT去噪算法对该块进行去噪。实验结果表明,该算法保护了图像的结构信息,相对于传统BM3D算法提高了图像的视觉效果。 展开更多
关键词 三维块匹配 图像去噪 结构聚类 结构相似子群
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Regulatory effects of seed soaking with a beneficial microbial agent on the rhizosphere soil microflora of edible lilies
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作者 MAN Hua-li LI Hui +3 位作者 SHI Gui-hong YANG Hong-yu LI Mou-qiang SHI Gui-ying 《植物营养与肥料学报》 北大核心 2025年第5期994-1005,共12页
【Background】The application of beneficial-microbial seed soaking prior to sowing represents a novel technology that has not been employed in Lanzhou lily cultivation.We conducted an experiment to explore the impact ... 【Background】The application of beneficial-microbial seed soaking prior to sowing represents a novel technology that has not been employed in Lanzhou lily cultivation.We conducted an experiment to explore the impact of this soaking method on the fungal and bacterial community structures using next-generation sequencing technology(NGS).【Methods】Lily bulbs were soaked in a seed treating agent containing beneficial microbes(SP treatment)for 4 hours.Subsequently,they were planted in soil in July and sampled in September to assess plant growth,rhizosphere soil physicochemical properties,and microorganism community structures.In addition,we employed the software PICRUSt and FUNGuild to predict bacterial pathways and fungal functions.【Results】Under SP treatment,there were significant alterations in fungi and bacteria community structures,accompanied by improved soil nutrient status.Notably,the relative abundance of dominant microorganism groups,such as the fungi Basidiomycota,Pseudeurotium,Cladophialophora,Microascus,and Dactylonectria,as well as the bacteria Proteobacteria,Chloroflexi,Ochrobactrium,Lysobacter,and RB41,underwent notable changes.Microorganism function prediction results indicated a reduction in pathotrophic fungi(including plant pathogens)and an increase in endophytic and saprotrophic fungi under SP treatment.Among the top 20 metabolism pathways,80%were upregulated in SP treatment compared to the CK.【Conclusions】Seed soaking with beneficial microbial strain promotes the growth of Lanzhou lily bulbs.The beneficial microorganisms play a crucial role in regulating soil microbial structures,enhancing the accumulation of endophytic fungi,reducing the abundance of pathogens,and improving soil functions.Furthermore,specific microbial groups are found to be involved in maintaining soil health. 展开更多
关键词 edible lily second-generation sequencing technology(NGS) seed treating fungal community structure bacterial community structure PROPHYLAXIS
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Application and optimization design of non-obstructive particle damping-phononic crystal vibration isolator in viaduct structure-borne noise reduction
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作者 SHI Duo-jia ZHAO Cai-you +3 位作者 ZHANG Xin-hao ZHENG Jun-yuan WEI Na-chao WANG Ping 《Journal of Central South University》 SCIE EI CAS CSCD 2024年第7期2513-2531,共19页
The problems associated with vibrations of viaducts and low-frequency structural noise radiation caused by train excitation continue to increase in importance.A new floating-slab track vibration isolator-non-obstructi... The problems associated with vibrations of viaducts and low-frequency structural noise radiation caused by train excitation continue to increase in importance.A new floating-slab track vibration isolator-non-obstructive particle damping-phononic crystal vibration isolator is proposed herein,which uses the particle damping vibration absorption technology and bandgap vibration control theory.The vibration reduction performance of the NOPD-PCVI was analyzed from the perspective of vibration control.The paper explores the structure-borne noise reduction performance of the NOPD-PCVIs installed on different bridge structures under varying service conditions encountered in practical engineering applications.The load transferred to the bridge is obtained from a coupled train-FST-bridge analytical model considering the different structural parameters of bridges.The vibration responses are obtained using the finite element method,while the structural noise radiation is simulated using the frequency-domain boundary element method.Using the particle swarm optimization algorithm,the parameters of the NOPD-PCVI are optimized so that its frequency bandgap matches the dominant bridge structural noise frequency range.The noise reduction performance of the NOPD-PCVIs is compared to the steel-spring isolation under different service conditions. 展开更多
关键词 non-obstructive particle damping phononic crystal vibration isolator band gap optimization floating-slab track bridge structure-borne noise control particle swarm optimization
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Membrane-inspired quantum bee colony optimization and its applications for decision engine 被引量:3
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作者 高洪元 李晨琬 《Journal of Central South University》 SCIE EI CAS 2014年第5期1887-1897,共11页
In order to effectively solve combinatorial optimization problems,a membrane-inspired quantum bee colony optimization(MQBCO)is proposed for scientific computing and engineering applications.The proposed MQBCO algorith... In order to effectively solve combinatorial optimization problems,a membrane-inspired quantum bee colony optimization(MQBCO)is proposed for scientific computing and engineering applications.The proposed MQBCO algorithm applies the membrane computing theory to quantum bee colony optimization(QBCO),which is an effective discrete optimization algorithm.The global convergence performance of MQBCO is proved by Markov theory,and the validity of MQBCO is verified by testing the classical benchmark functions.Then the proposed MQBCO algorithm is used to solve decision engine problems of cognitive radio system.By hybridizing the QBCO and membrane computing theory,the quantum state and observation state of the quantum bees can be well evolved within the membrane structure.Simulation results for cognitive radio system show that the proposed decision engine method is superior to the traditional intelligent decision engine algorithms in terms of convergence,precision and stability.Simulation experiments under different communication scenarios illustrate that the balance between three objective functions and the adapted parameter configuration is consistent with the weights of three normalized objective functions. 展开更多
关键词 quantum bee colony optimization membrane computing P system decision engine cognitive radio benchmarkfunction
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