Results 101 to 110 of about 5,206 (257)
Deep reinforcement learning based resource allocation algorithm in cellular networks [PDF]
, 2019 In order to solve multi-objective optimization problem,a resource allocation algorithm based on deep reinforcement learning in cellular networks was proposed.Firstly,deep neural network (DNN) was built to optimize the transmission rate of cellular system
Jia SHI +5 more
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Enhanced deep deterministic policy gradient algorithm [PDF]
, 2018 With the problem of slow convergence for deep deterministic policy gradient algorithm,an enhanced deep deterministic policy gradient algorithm was proposed.Based on the deep deterministic policy gradient algorithm,two sample pools were constructed,and ...
Chao HE +5 more
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Strategy Selection and Outcome Evaluation of Three-Way Decisions Based on Reinforcement Learning [PDF]
The trisecting-acting-outcome (TAO) model of three-way decision (3WD) consists of three steps: trisect a whole, design action strategies, and outcome analysis and measurement.
LIU Xiaoxue, JIANG Chunmao
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DPU empowered intelligent congestion control mechanism for the intelligent computing center network [PDF]
Addressing the issue of frequent network congestion due to high-frequency interactions between intelligent computing center clusters, which compromised the real-time performance of intelligent services, a congestion control model driven by deep ...
CHEN Jinqian +4 more
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Dianxin kexue针对未来全域、全场景多样化的业务需求，6G网络需要提供场景化、个性化的服务能力。针对未来细粒度业务服务质量保障问题，提出了6G网络任务卸载与细粒度切片资源调度联合优化算法，联合考虑多MEC的计算卸载和网络切片的资源调度，在有限的资源内，最小化任务的执行时延和能耗成本，并采用异步训练的A3C强化学习算法进行求解。仿真结果表明，对比传统算法，该算法可以在满足用户业务需求的情况下降低计算成本，并且算法收敛速度快，可以实现快速决策。
王晔1, 王逸飞2, 陈康2, 朱晓荣2, 童恩3, 徐语菲1
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Jianzhu Gangjiegou Jinzhan, 2023 通过建立计算预制装配式型钢混凝土（PSRC）梁抗剪承载力的智能模型，在一定程度上提高了计算精度与适用性。基于BP人工神经网络算法，通过对影响PSRC梁抗剪承载力的相关参数进行梳理，选取十四个主要影响参数作为输入层，以试算法确定隐含层节点数为5，初步构建了三层结构人工神经网络系统；以收集的76组试验数据作为学习样本，对构建的神经网络系统进行训练，建立了对PSRC梁及SRC梁抗剪承载力计算的N14-5-1智能模型。使用智能模型对6个PSRC梁构件及6个SRC梁构件进行抗剪承载力计算，并通过与规范公式计算结果、
刘坚 +13 more
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Intelligent matching task offloading scheme in green computing power networks [PDF]
By integrating cloud, edge, and device resources, the computing power networks provide integrated services such as data sensing, transmission, and computation for the digital economy. However, their rapid development is accompanied by pressing challenges
LAN Shizhan, MA Lifang
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Collaborative altitude-adaptive reinforcement learning for active search with unmanned aerial vehicle swarms [PDF]
Active search with unmanned aerial vehicle (UAV) swarms in cluttered and unpredictable environments poses a critical challenge in search and rescue missions, where the rapid localizations of survivors are of paramount importance, as the majority of urban
CHEN Xinlei +4 more
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智能科学与技术学报, 2019 概述了联邦可视化的概念、框架、方法与应用。联邦可视化框架能够在不进行数据整合的情况下，针对具体任务和特定场景进行加密训练，得出反映全体数据特征的可视化模型。联邦可视化是联邦学习框架在可视化领域的拓展应用，主要强调在保障数据隐私的前提下，互利共赢的联邦协作方式在对多数据源数据进行可视分析方面的应用，以打破各领域、各行业的数据壁垒，实现数据与知识的共享。
魏雅婷, 王智勇, 周舒悦, 陈为
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