Results 11 to 20 of about 2,180 (133)
红外光谱快速识别食用植物油种类的研究Fast identification of edible vegetable oil kinds by infrared spectroscopy
Zhongguo youzhi, 2023 为实现食用植物油种类的快速无损识别，为公安实战中打击“食药环”犯罪提供参考，借助衰减全反射-傅里叶变换红外光谱技术对不同类别、品牌食用植物油进行了多层次分类识别工作。采用标准正态变换（SNV）和一阶导数预处理消除基线和其他背景干扰，使得重叠峰发生分离，从而提高检测的分辨率和灵敏度，利用竞争性自适应重加权算法（CARS）提取特征波长，结合基于布谷鸟搜索算法优化的极限学习机（CS-ELM）模型对不同种类和品牌的食用植物油进行分类识别，同时对比随机森林模型与CARS-CS ...
接昭玮1, 李绅2, 汪睿璇3，王继芬1，张震1, 徐晓杰4，周娣4，石学军4 JIE Zhaowei1, LI Shen2, WANG Ruixuan3, WANG Jifen1, ZHANG Zhen1, XU Xiaojie4, ZHOU Di4, SHI Xuejun4
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ADHD classification based on a multi-objective support vector machine [PDF]
, 2020 Attention deficit hyperactivity disorder (ADHD) is one of the most common mental disorders during childhood, which lasts until adulthood in most cases.
Dong-hui ZHANG +2 more
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Adaptive Weight Based Broad Learning Algorithm for Cascaded Enhanced Nodes [PDF]
, 2022 In the era of intelligence,continuous autonomous learning and optimization need to be carried out on the big data platform,and the first step of continuous autonomous learning is data enhancement.This paper proposes a broad learning method based on ...
CAI Xin-yu, FENG Xiang, YU Hui-qun
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Gaoya dianqi, 2020 针对极限学习机缺乏稳定性对变压器故障诊断造成不良影响的问题,文中引入具有更好泛化能力的正则极限学习机,提出一种基于NSGA2优化正则极限学习机的变压器故障诊断方法。该方法以油中溶解气体含量比值作为特征输入,用NSGA2优化正则极限学习机随机生成的输入层权值与隐层偏置,避免了输出层权值矩阵过大,从而提高模型稳定性和诊断精度。仿真实验结果表明,相比于传统正则极限学习机,文中方法有更高的故障诊断正确率,是一种有效的变压器故障诊断方法。
王春明, 朱永利
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Zhongguo shiyan zhenduanxue, 2022 在我国医学教育中，住院医师规范化培训（简称住培）是培养医生的主要方式，是住院医师知识理论与实际相结合的重要途径。肾脏内科是内科学的重要分支之一，该学科具有理论性强、实践性强等特点，发病机制抽象复杂，部分疾病没有特异的症状与体征等，认识理解及实践操作均存在一定的难度。此外，住院医师工作任务多而重，如何在有限的培训时间内，怎样提升学习积极性与培训效果，
侯洁 +5 more
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Overview of anomaly detection techniques for industrial Internet of things [PDF]
, 2022 In view of the differences of existing anomaly detection methods and the applicability when applied to security protection of the industrial Internet of things (IIoT), based on technical principles, the network anomaly detection papers published from ...
Haili SUN +4 more
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Adopting e-hailing application among Malaysian millennials. [PDF]
, 2020 e-hailing apps dominate the public taxi transport sector all over the globe. Different researchers study this disruptive business model from a different perspective.
Mohamed Razi, Mohamed Jalaldeen +2 more
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Research Progress on the Application of Spectroscopy in Meat Spoilage Detection [PDF]
, 2023 The growth and metabolism of microorganisms is the main cause of meat spoilage. The rapid and nondestructive techniques for detecting microorganisms in meat have attracted more and more attentions.
LIU Qingsen, LUO Xin, DONG Pengcheng, HAO Jiangang, MAO Yanwei, CHENG Haijian, ZHANG Yimin
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Gaoya dianqi, 2020 断路器动作时,分合闸线圈电流特征能够反映断路器操动机构或者二次回路的运行状态,文中基于分合闸线圈电流特征值创建了样本库,并提出使用粒子群优化学习机进行故障诊断的方法。该方法首先通过粒子群优化算法寻找最优解,即极限学习机模型中输入层与隐含层间的权值以及隐含层的偏置,然后利用最优值进行极限学习机网络训练,最后使用训练好的网络对测试样本进行诊断并验证该方法的有效性。同时搭建了未优化的极限学习机模型和遗传算法优化的极限学习机模型,仿真结果表明,经过粒子群算法优化后的极限学习机能100 ...
张佳, 陈志英, 陈丽安, 陈庆荣
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Research on Intelligent Optimization of Fiber Bragg Grating Filter and Raman Fiber Amplifier in DWDM System [PDF]
, 2016 随着网络化大数据时代的到来，互联网应用和数据通讯业务的日益剧增，对通信网络的传输容量、速率和带宽提出了更高的需求。为了适应光纤通信系统对高速、大容量、超长距离的传输要求，密集波分复用（DWDM）技术成为一种能够有效挖掘和扩充光纤网络带宽资源并被广泛应用的技术方案。DWDM系统中新型器件的研究和开发进一步推动了光纤传输系统性能的提升。多信道光滤波技术和全波长光放大技术是DWDM突破网络容量瓶颈的两项最核心的技术支撑。其中，多信道光纤布拉格光栅（FBG ...
陈静
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