Results 11 to 20 of about 18,329 (166)
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, 2023 深度网络是预测变压器温度以进行火灾预防的常用方法，但标准训练数据的不足将限制预测模型的有效性。文中提出了一种用于变压器温度预测的基于物理场数据增强的深度网络。首先分析了铁心损耗原理，建立了损耗计算模型。然后探讨了变压器内部的热传递机理，并建立了热传递机制模型。将损耗计算模型和热传递机制模型相结合构建出物理场模型。通过对不同参数下变压器温度变化过程进行模拟，收集得到的数据可以用于增强深度网络的训练数据。最后，使用增强后的数据训练深度网络CAT-LSTM以进行温度预测。实验结果表明 ...
钟振鑫 +5 more
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Kongjian kexue xuebao, 2023 统计研究漠河、北京、武汉流星雷达观测到的2012－2018年80~100 km高度的风场数据，比较在地磁平静期（$ Kp\le 2 $）和地磁扰动期（$ Kp\ge 4 $）的日平均风场数据，得到在地磁活动期风场的变化特征。研究结果表明，在地磁扰动时风场变化具有季节差异和纬度差异。地磁扰动期间，纬向风在较高纬度地区倾向于中间层西风增强，低热层东风增强，纬度较低地区倾向于东风增强。春季，地磁活动对纬向风的影响没有纬度差异，在夏冬季随着纬度的降低中间层东风增强明显。地磁活动对经向风的影响具有季节差异 ...
刘 晋芳 +3 more
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Chinese semantic and phonological information-based text proofreading model for speech recognition [PDF]
, 2022 To study the influence of Chinese Pinyin on detecting and correcting text errors in speech recognition, a text proofreading model based on Chinese semantic and phonological information was proposed.Five Pinyin coding methods were designed to construct ...
Lingfu KONG +4 more
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Intelligent fault diagnosis of mine ventilation system for imbalanced data sets [PDF]
, 2023 It is of great significance to determine the location of fault branch timely and accurately to ensure the reliability and safety of mine ventilation system.
Dan ZHAO, Zhiyuan SHEN, Zihao SONG
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智能科学与技术学报, 2021 非负矩阵分解（NMF）已经得到了广泛应用。但NMF更注重数据的局部信息，忽略了数据的全局信息，而在有噪声图像的分类问题上，数据的全局信息往往比局部信息更具鲁棒性。为了提高算法的鲁棒性，结合数据的局部与全局信息，并且考虑低秩表示的特性，提出了一种新的非负监督低秩鉴别嵌入算法，此算法假设数据存在噪声，将数据分解为干净数据与噪声数据，并通过L1范数对噪声矩阵进行稀疏约束，增强对噪声的鲁棒性。此外，该算法使用低秩表示学习到一个低秩矩阵，然后通过非负分解再一次增强算法的鲁棒性。最后结合图嵌入理论 ...
姚裕, 万鸣华
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Threat detection in transmission scenario based on TATLNet [PDF]
, 2020 The operation of cranes and other large machinery threatens the safety of transmission lines. In order to solve this problem in the transmission scenario, the research from the aspects of data enhancement, network structure and the hyperparameters of the
Bo WANG +5 more
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Gaoya dianqi, 2023 及时掌握输电线路覆冰增长、消落情势，提前开展线路除冰决策分析，可避免因覆冰过厚导致的倒塔断线事故。针对无实时覆冰厚度观测数据区域，文中在分析覆冰情势与气象要素关联性的基础上，构建基于Apriori算法的输电线路覆冰增长、消落情势与微地形气象数据的强关联规则挖掘模型，提出覆冰增长、消落情势预警方法。以南方某省级电网输电线路实例运行数据为例，验证了所提模型预警精度，实用性强，有力支撑输电线路防冻融冰决策分析。
潘浩 +6 more
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Self-supervised speech representation learning based on positive sample comparison and masking reconstruction [PDF]
, 2022 To solve the problem that existing contrastive prediction based self-supervised speech representation learning methods need to construct a large number of negative samples, and their performance depends on large training batches, requiring a lot of ...
Dan QU +4 more
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Data Preprocessing Method for Video Action Recognition Depth Models [PDF]
Video preprocessing operations, mainly including video frame sampling and data augmentation, are essential methods to improving the performance of deep video models in action recognition, and they have recently received increased attention. In this study,
Fengmin AN, Bingbing ZHANG, Wei DONG, Jianxin ZHANG
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