Results 31 to 40 of about 622,796 (161)
Policy Studies Journal, Volume 54, Issue 3, August 2026.ABSTRACT This paper examines how experts exert influence within China's one‐party system, where policymaking is ideologically disciplined and knowledge‐intensive. It combines the Functional Theory of Agency, which identifies patterns of action including accumulation of knowledge, brokerage, entrepreneurship, and leadership, with a typology of four ...
Giliberto Capano, Yuchen Guo
wiley +1 more source
Gaoya dianqi, 2014 笔者提出了一种基于经验模式分解的GIS局放超高频信号分形特征提取与识别方法。该方法通过对局部放电超高频信号进行经验模式分解得到多个固有模态,通过计算固有模态的关联维数作为特征量进行模糊聚类识别。文中设计了4种典型局放模型获取局放超高频信号样本进行验证该方法,结果表明识别正确率最低达到98%。
李化 +5 more
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Ultrasound in Obstetrics &Gynecology, Volume 68, Issue 1, Page 88-98, July 2026.ABSTRACT Objective To identify prenatal predictors of tuberous sclerosis complex (TSC) in fetuses with one or more cardiac rhabdomyomas (CR), evaluate an integrated multimodal diagnostic workflow using fetal magnetic resonance imaging (MRI) and trio whole‐exome sequencing (trio‐WES) and characterize perinatal outcomes.
X. Cai +8 more
wiley +1 more source
仿生模式识别（拓扑模式识别）－－一种模式识别新模型的理论与应用
, 2002 本文提出了一种模式识别理论的新模型，它是基于“认识”事物而不是基于“区分”事物为目的。与传统以“最佳划分”为目标的统计模式识别相比，它更接近于人类“认识”事物的特性，故称为“仿生模式识别”。它的数学方法在于研究特征空间中样本集合的拓扑性质，故亦称作“拓扑模式识别”。“拓扑模式识别”的理论基点在于它确认了特征空间中同类样本的连续性（不能分裂成两个彼此不邻接的部分）特性。文中用“仿生模式识别”理论及其“高维空间复杂几何形体覆盖神经网络”识别方法，对地平面刚体目标全方位识别问题作了实验 ...
王守觉
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Gaoya dianqi, 2018 传统的局部放电模式识别方法识别正确率低,或者训练时间长。文中提出了一种新的局部放电模式识别算法,绘制局部放电信号的PRPS图谱作为输入数据,采用基于稀疏自编码器（sparse autoencoder,SAE）实现对PRPS图谱的特征提取和降维,得到能高度表达原始数据的低维特征空间。利用极限学习机（extremelearning machine,ELM）网络作为分类器,实现对局部放电的分类。利用实验得到的数据样本测试该算法,结果表明该算法不仅模式识别正确率高,并且训练速度快。
何金 +5 more
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Functional Ecology, Volume 40, Issue 7, Page 2128-2142, July 2026.Read the free Plain Language Summary for this article on the Journal blog. Abstract Soil organic nitrogen (SON) transformation is critical for global nutrient cycling and ecosystem productivity, yet how its responsiveness to climate change differs across diverse land use types remains poorly resolved.
Xinyi Yang +10 more
wiley +1 more source
, 2004 提出了一种基于仿生模式识别（Biomimatic Pattern Recognition）和多权值神经元网络(Multi-Weights.Neu-ral Network)的人脸识别新方法．对仿生模式识别理论在人脸识别中的应用模型作了讨论，并且介绍了一种新的人脸特征提取方法．本文通过实验对本文提出的基于仿生模式识别的方法和基于K近邻的方法做了对比，实验结果表明本文的方法克服了对未训练类型的人脸误识问题 ...
王守觉, 赵占强, 王志海
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Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2123-2134, July 2026.Abstract Elliptic Fourier analysis (EFA) is often employed in geometric morphometrics (GM), but the normalization of elliptic Fourier descriptor (EFD) has persistently posed challenges for obtaining unique and comparable results, especially in the application of outline‐based GM methods, which limits the implementation in automated analysis of numerous,
Hui Wu +6 more
wiley +1 more source
, 2004 本文实现了一种基于仿生模式识别的人脸识别系统,并将其识别效果同最近邻分类器与不同核函数的SVM进行了分析比较.以ORL人脸库为识别对象,针对有"拒识"的情况下,通过改变不同识别算法的可调参数,在保证参与训练人的正确识别率在大致相同水平的条件下,分析了参与训练人的错误识别率(错识别为参与训练的其他人)与未参与训练人的错误接受率(错识别为参与训练的某人)的优劣.比较结果表明 ...
李卫军, 王守觉, 曲延锋, 覃鸿
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