Results 1 to 10 of about 468 (133)
Conservation Biology, Volume 37, Issue 3, June 2023., 2023 Abstract Many species are restricted to a marginal or suboptimal fraction of their historical range due to anthropogenic impacts, making it hard to interpret their ecological preferences from modern‐day data alone. However, inferring past ecological states is limited by the availability of robust data and biases in historical archives, posing a ...
Tom B. Letessier +8 more
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智能科学与技术学报, 2022 群体行为往往能产生远超个体行为的价值和复杂度。为了在个体智能的基础上更有效地衍生出群体智能，需要基于群体熵来科学地衡量群体智能水平，并以群体熵为引导目标，推动群体智能的增强和演进。针对这个重要的科学问题，以无人小车群体为研究对象，提出基于参数共享和群体策略熵的多智能体soft Q learning算法，通过共享智能体的观测信息，并结合最大熵强化学习方法，实现探索型任务中群体策略的持续学习更新。同时，通过将群体熵定义为度量工具，刻画群体学习中熵变化模式，实现对群智汇聚过程的定量分析。
冯埔 +4 more
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Research on HMM based link prediction method in heterogeneous network [PDF]
, 2022 In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of ...
Fangyuan XING +4 more
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全球能源互联网, 2019 针对综合能源系统非计划停电下如何减少负荷损失、提高能源利用效率的问题开展了研究，提出一种考虑负荷重要性与源-荷互补性的负荷恢复策略。首先，根据负荷特性构建负荷重要性评价指标，得出负荷的重要程度；然后，考虑源-荷互补特性，提出源-荷互补性评价指标；最后，利用熵权法综合考虑负荷重要性与源-荷互补性构建基于综合指标的负荷恢复策略模型。仿真结果表明，按照综合指标大小依次恢复负荷，能够最大限度减少负荷损失，有效提升综合能源系统孤网下有限能源的利用率，同时储能的配置容量也可大大降低 ...
刘志谱 +5 more
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智能科学与技术学报, 2022 原料供应链是安全稳定生产的前提和保障，订单分配作为供应链的前置环节，是企业关注的重点。冶金行业原料成分复杂、供应商量大质异、信息耦合关联，当前专家决策模式面对如此复杂的订单分配问题时劳动强度大且难以适应海量信息，导致决策效率低、采购成本高、原料质量难以保障。针对该问题，提出了知识驱动的冶金企业原料供应链订单分配方法。首先，在确定多层次供应商评价体系的基础上，通过熵权法和模糊层次分析法充分利用供货数据知识和专家经验知识，结合兼容度和差异度合理分配评价指标的重要度。然后 ...
刘一顺, 阳春华, 黄科科
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智能科学与技术学报, 2022 群体智能是大规模人类群体和机器集群通过网络交互协作，相互赋能，持续学习，涌现出超越人类个体和机器单体的智能。群体智能在智能化信息服务、软件开发、众包创作、医疗健康、社会行为分析、交通出行、侦察监视、群智机器人等多个领域已经受到学术界和工业界的广泛关注，并成为国家人工智能发展的重要方向之一。对群体智能的深入研究有助于推动改善人与人、人与机器、人与物理世界、机器与机器间的关系。 为了及时掌握该领域的研究热点和技术动态，推动群体智能领域的快速发展，促进学术交流和技术创新，《智能科学与技术学报》发起了 ...
王怀民
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Named entity recognition based on equipment and fault field of CNC machine tools [PDF]
, 2020 With the advent of intelligent manufacturing and big data, the Made in China 2025 Initiative and Industry 4.0 have been paying increasing attention to automation and intelligent industrial equipment. In the background of the present times, the complexity
Huan WANG +4 more
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Fusion of Focal Loss’s cyber threat intelligence entity extraction [PDF]
, 2022 Cyber threat intelligence contains a wealth of knowledge of threat behavior.Timely analysis and process of threat intelligence can promote the transformation of defense from passive to active.Nowadays, most threat intelligence that exists in the form of ...
Chen FANG +4 more
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Gaoya dianqi, 2023 针对电磁斥力机构真空快速开关的机械状态监测问题，提出了一种最大奇异值能量熵（energy entropy of maximum singular value,EEMSE）和随机森林的故障诊断方法。首先，在真空快速开关中采集振动信号，对振动信号进行改进S变换得到模矩阵，随后对该矩阵的子矩阵进行奇异值分解，再利用信息熵理论对最大奇异值求熵得到特征向量，最后将特征向量输入随机森林模型进行故障分类和诊断。与不同特征量和分类器比较后的结果表明，文中提出的真空快速开关机械故障诊断方法特征一致性好，模型诊断速度较快 ...
张宇 +6 more
doaj
Off-policy Maximum Entropy Deep Reinforcement Learning Algorithm Based on RandomlyWeighted Triple Q -Learning [PDF]
, 2022 Reinforcement learning is an important branch of machine learning.With the development of deep learning,deep reinforcement learning research has gradually developed into the focus of reinforcement learning research.Model-free off-policy deep ...
FAN Jing-yu, LIU Quan
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