Results 81 to 90 of about 16,430 (195)
[Epilepsy detection and analysis method for specific patient based on data augmentation and deep learning]. [PDF]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2022 Yang Y, Qin X, Lin X, Wen H, Peng Y.
europepmc +1 more source
Gaoya dianqi, 2022 为改善BP神经网络算法需要大量训练数据和预测精度有限等问题,提出了以输入层、隐含层和输出层为目标的分层优化思路。首先,利用灰色模型良好的小数据趋势辨别能力对输入层数据进行处理,以更好地提炼数据内部蕴含的数学规律,压缩神经网络所需训练数据样本数量;然后,利用遗传算法优越的全局寻优能力确定隐含层的初始权值和阈值,抑制神经网络隐含层参数无法准确获取所导致的误差较大和泛化能力弱的问题;最后,采用蚁群优化算法对输出层数据进行优化,以进一步改善神经网络模型的计算精度。以波动性较强的风电功率进行算例验证,结果表明 ...
朱显辉 +4 more
doaj
Zhendong Ceshi yu Zhenduan针对机械设备的异常数据难以获取和传统异常检测方法容易误报的问题，提出了一种基于深度对比一类分类的无监督异常检测框架，用于检测轴承等关键部件产生异常的时间点。所提出的框架分为2部分。第1部分，针对深度一类分类方法的分布未知与模型坍缩问题，提出一种改进的深度对比一类分类损失，修改了相似度度量方式，并添加了增强样本对之间的相似度约束。在训练过程中，选取4种备选的数据增强方案进行实验和分析，并选取了最佳的数据增强组合，使模型学习得到了更加均匀的正常数据分布。第2部分 ...
doaj +1 more source
Design and Implementation of Insurance Operating Expenses Monitoring System [PDF]
, 2015 费用监控系统主要是实现销售费用差异化配置及调整功能，实现按照基本规则、特殊规则、特批保单规则、阶段性奖励推动系统化跟单配置；在统一的费用管理平台中及时为用户提供费用监控数据，为公司各层级管理人员提供清晰、高效、便捷的费用监控数据。目的是加强财险公司对费用成本管理、合规经营意识，提高资源差异化配置能力，为公司持续健康发展、经营决策提供有力支持。 费用监控系统采用INFORMIX数据库+ETL+J2EE体系结构来搭建系统框架；展示层采用Html+JavaScript+Jquery ...
黄涛
core
Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large [PDF]
Food image recognition plays a crucial role in food safety monitoring, nutritional analysis, and dietary recommendation systems. However, the diversity, complexity, and external factors such as lighting conditions pose numerous difficulties and ...
HE Wei-chan, QIN Jing-hui, YANG Zhi-jing
core +1 more source
Overview of object detection methods based on LiDAR point cloud under adverse weather conditions [PDF]
With the rapid development of autonomous driving technologies, including sensors, data processing, visual perception, vehicle control, decision making, and artificial intelligence, achieving fully automated Level-5 autonomous driving has become a ...
Heng WANG +4 more
core +1 more source
TCGCL: Complex Network Traffic Classification Algorithm Based on Graph Contrastive Learning [PDF]
Network traffic classification technology plays a crucial role in the field of network security. Modern network architecture is highly complex, and various abnormal situations will inevitably be encountered during network traffic transmission.
HU Zhongze, QIN Hongchao, LI Zhenjun, LI Yanhui, LI Ronghua, WANG Guoren
core +1 more source
Dianci bileiqi, 1973 电力系统配电装置位于强烈雷电活动地区。以雷日和雷时表示的雷电强度列于表1。考虑强的雷电活动,所有的逐年增多的电力系统配电装置都用阀式避雷器来防护架空线路的大气过电压波。避雷器数量,正如图1所示,亦是逐年在增长。220、110和35仟伏避雷器通常装于变电站母线上和电力变压器与断路器之间。它们的动作数据如下:
汪仁根
doaj
Backdoor defense method in federated learning based on contrastive training [PDF]
In response to the inadequacy of existing defense methods for backdoor attacks in federated learning to effectively remove embedded backdoor features from models, while simultaneously reducing the accuracy of the primary task, a federated learning ...
Bing CHEN +4 more
core +1 more source
Shuitu Baochi Xuebao, 2017 利用遂宁水土保持试验站5个径流小区1984—2015年次降雨和径流输沙数据，基于降雨过程定量划分出4种雨型，分析了雨型对不同坡度坡耕地产流产沙的作用。结果表明：径流深与各时段最大雨强均呈极显著相关（p＜0.01），随着坡度的增加，最大相关系数所对应的雨强时段越短；冲刷量均与I平均呈极显著相关，且相关系数最大。径流深、冲刷量与雨强拟合关系均为幂函数，分别为“凸型”和“凹型”增函数，且拟合度区间分别为[0.79，0.88]和[0.90，0.97]，说明冲刷量和雨强的关系更密切 ...
马, 陈, 单志杰, 郎登潇, 廖
doaj