Results 11 to 20 of about 893,344 (163)
Jianzhu Gangjiegou Jinzhan, 2023 基于支持向量机的结构损伤识别方法建立在训练和测试数据同概率分布的假设上，必须对每个结构分别收集训练数据和标签并训练模型以识别损伤。损伤结构的训练数据和标签难以收集，导致支持向量机方法在结构损伤识别中难以实施。提出一种基于领域自适应支持向量机的跨域损伤识别方法，将在有损伤标签结构（源结构）上训练的支持向量机推广到无损伤标签结构（目标结构）的损伤识别中。该方法首先提取结构的多阶固有频率变化率作为损伤特征构建训练数据；然后，推导最小化边缘分布差异与最小化联合分布差异的迁移学习方法 ...
李佐强 +6 more
doaj +2 more sources
A scalable hardware implementation of the support vector machine(一种可伸缩的支持向量机的硬件实现方法)
Zhejiang Daxue xuebao. Lixue ban, 2009 提出了支持向量机(Support Vector Machine)学习过程硬件实现的一种新的数字电路结构,它可以在保证向量机学习速度的同时,提高支持向量机的硬件资源利用效率；此外基于此结构的支持向量学习机还可以适用于低于设计数的样本集.由于该设计的灵活性以及其对硬件要求的减小,使得支持向量学习机可以更好、更方便地应用于嵌入式系统中.
WANGSi-ping(王嗣平) +2 more
doaj +1 more source
Prediction of landslide hazard based on support vector machine theory(基于支持向量机理论的滑坡灾害预测——以浙江庆元地区为例)
Zhejiang Daxue xuebao. Lixue ban, 2003 滑坡发生受很多因素影响,揭示因素与发生滑坡事件的关系是当前滑坡研究中的一个重要内容.运用支持向量机理论,利用数字高程和遥感数据,构建了滑坡预测的支持向量机模型,并以浙江庆元县境内滑坡发生集中区为试验区,开展滑坡灾害的预测与评价,取得了与实际滑坡较为一致的结果.认为基于支持向量机理论建立的滑坡预测与评价模型可以快速准确地实现滑坡灾害区域评价与预测.
MAZhi-jiang(马志江) +2 more
doaj +1 more source
Gaoya dianqi, 2021 建立一种粒子群优化的改进加权支持向量回归的变压器顶层油温模型,能够准确的估计变压器顶层油温。该模型根据环境温度、变压器负荷、变压器顶层油温等样本数据建立支持向量回归模型,分析变压器顶层油温与其他各因素之间的联系,根据不同影响因素建立支持向量超平面将变压器顶层油温预测限制在一个合理区间,根据支持向量机的惩罚因子和松弛因子的选择使该区间缩小至与实际变压器顶层油温的误差达到最小,使以变压器顶层油温为预测目标函数的预测模型精度最高 ...
李诗勇 +6 more
doaj
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Logistic回归和支持向量机在电缆老化状态评估中的应用与比较
Gaoya dianqi, 2023 电缆老化状态评估主要有物理模型和统计模型两大类，物理模型一般用于电缆个体老化评估，但难以用于在线评估，统计模型一般用于电缆整体老化评估，无法评估个体状态。为建立电缆运行数据与电缆老化状态之间的关联关系，在线评估电缆个体老化状态，文中提出了基于机器学习的电缆老化状态评估方法，建立了Logistic回归和支持向量机这两种机器学习模型，采用十折交叉验证对模型准确率进行了评估，同时计算了模型的F1-Score。结果表明支持向量机采用多项式核时的总体样本准确率平均值为96%，高于Logistic回归 ...
谭笑 +5 more
doaj
Behavioral interventions to reduce demand for threatened freshwater turtles as pets
Conservation Biology, EarlyView.Abstract Growing demand for freshwater turtles as pets has fueled illegal trade and accelerated wild population declines, underscoring the need for theory‐based demand‐reduction interventions. We conducted a three‐part randomized controlled trial with active turtle keepers (n = 1800) in China to test conservation‐ and legality‐framed messages by ...
Wuji Zheng +9 more
wiley +1 more source
Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
International Journal of Applied Linguistics, EarlyView.ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source
Policy Studies Journal, Volume 54, Issue 2, May 2026.ABSTRACT Why did Australia go from the White Australia Policy, which excluded non‐whites, to institutionalizing multiculturalism policy in the 1970s? This question defies traditional political ideologies of the major political parties, which had long supported the White Australia Policy. This article is a rare empirical demonstration of the Five‐Thread
Julius C. S. Mok
wiley +1 more source
, 2014 目的研究青少年学生社会支持和手机成瘾二者间的关系。方法采用社会支持量表(SSRS)和手机成瘾倾向调查问卷(MPATS),通过整群随机抽样方法对1200名青少年学生进行问卷调查。结果青少年学生手机成瘾倾向得分为(2.71±0.72)分,手机成瘾者占被调查者总人数的30.78%;不同社会支持分组青少年学生手机成瘾各项指标得分差异显著(F=6.225~21.589 ...
祝卓宏, 葛续华
core +1 more source