Results 41 to 50 of about 380 (97)
Fault diagnosis method of rolling bearing of mine main fan based on transfer learning [PDF]
The condition monitoring and fault diagnosis of the rolling bearings of the main fan in the mine are significant to the safety of coal mine production. The existing fault diagnosis methods of rolling bearing have the problems of insufficient training and
Guoying MENG, Wei CUI, Xingwei WAN
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Active defense technology against intelligent jammer [PDF]
, 2022 In the complex electromagnetic countermeasure environment, the intelligent development of jammer has caused a serious threat to wireless communication, while the traditional anti-jamming methods often passively adjusted the working mode or parameters ...
Hao HAN +6 more
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Huli yanjiu, 2008 摘要： （免费在线浏览）护理专业是医学科学的重要组成部分，但与医学不同，它是具有更丰厚的人文特色和技能要求，更注重培养应用型、服务型、技能型人才，尤其能力的培养和理论知识的迁移主要依靠实践来实现，所以，临床实习就成为能力形成、知识迁移的主要手段和途径［1］。为有效提高学生职业能力，在临床教学阶段，必须以学生能力发展为本位，进行实习教学。“行为导向教学法”是以培养学生职业能力为根本目的，以职业活动以及与之相关的知识、能力、经验等为教学内容，教学过程以学生为主体和中心，教学的模式是“用心+用脑+用手”，
薛燕 +4 more
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野生动物学报, 2017 候鸟和具有迁徙特征鸟类是两个不同的概念,候鸟是具有迁徙特征鸟类的一种。法律概念应该科学地拟制。将“候鸟”作为法律概念,易引起误解。目前,环境法学者们没有完全理解迁移的含义,以致译文不符合动物学用语习惯。目前,我国立法中还没有具有迁徙特征鸟类的概念。为了制定更为有效的法律保护措施,法学界应积极学习动物学理论,并在立法中弥补这一空白。
张栋琦
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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
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Application of Machine Learning in Financial Asset Pricing:A Review [PDF]
, 2022 The key problem of financial asset allocation is asset price.Asset pricing is the core content of modern finance,which indicates that asset pricing law has always been one of the hot topics of financial research.This paper reviews the methods used by ...
XU Jie, ZHU Yu-kun, XING Chun-xiao
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Food Image Classification Based on CBAM-Inception V3 Transfer Learning [PDF]
To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module.
CUI Xiao-yi +3 more
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智能科学与技术学报, 2021 针对皮肤镜图像数量不充足以及各类疾病之间影像数据不平衡的问题，提出一种融合类加权交叉熵损失函数和分层卷积神经网络的皮肤镜图像分类方法。首先对皮肤镜图像进行色彩恒常化处理，消除环境光源噪声；然后构建基于ResNet 50的分层卷积神经网络，并在迁移学习的基础上分别构建二分类和多分类卷积神经网络模型，根据皮肤镜图像的数量特点设置类加权交叉熵损失函数。实验结果表明，该方法具有较好的分类效果，分类准确率达到了85.94%，与未改进的分类模型ResNet 50相比，测试准确率提高了5.752%。
邵虹, 张鸣坤, 崔文成
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High-resolution Imaging Method for Through-the-wall Radar Based on Transfer Learning with Simulation Samples [PDF]
This paper addresses the problem of high-resolution imaging of shadowed multiple-targets with limited labeled data, by proposing a transfer-learning-based method for through-the-wall radar imaging. First, a generative adversarial sub-network is developed
Guolong CUI +4 more
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Gaoya dianqi, 2023 绝缘和机械故障是气体绝缘金属封闭开关设备（gas insulated metal-enclosed switchgear,GIS）中占比最大的故障类型，准确的故障诊断和状态评价对保证电力系统安全稳定运行具有重要意义。深度学习方法已成为故障诊断领域的主流，但传统卷积神经网络需要强大的计算资源，在计算能力一般的智能终端设备中难以应用。为此，文中提出了基于轻量级卷积神经网络的GIS绝缘和机械故障诊断方法。首先，采用空间可分离卷积代替传统卷积构造EffNet轻量级卷积神经网络，大幅度降低了模型的计算量；其次 ...
杨为 +4 more
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