Results 21 to 30 of about 2,050,318 (158)
智能科学与技术学报, 2022 供应链网络通过需求和供应关系将各个成员连接起来，方便成员之间进行协调与合作，这在全球化竞争环境下显得尤为重要。对供应链网络结构进行优化改进能够缩小企业运营成本、提高企业收益，提升客户满意度，进而提高企业的竞争力。首先，通过分析供应链网络中的优化问题，从建模特征、决策变量类型和场景特征等不同角度对该问题进行分类，从而更清晰地介绍现有供应链网络研究工作中涉及的优化问题。然后，介绍并分析了遗传算法、蚁群优化算法和粒子群优化算法3种常用的智能优化算法及其在供应链网络优化问题中的应用情况。最后 ...
张欣, 詹志辉
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Zhejiang Daxue xuebao. Lixue ban, 2023 提出了一种新颖的广义无监督函数映射学习的三维形状密集对应方法。首先，基于多层感知器（multilayer perceptron，MLP）和残差网络，直接学习深度点特征。其次，计算点云的近似测地线距离，并对其进行特征分解，建立特征嵌入空间，引入注意力机制，有效学习广义基函数表示。再次，结合点特征与广义基函数生成三维形状的深度特征表示。最后，建立无监督的函数映射网络框架，获取形状之间的密集对应表示。提出的三元正则优化机制，联合重构损失、特征损失和形状匹配的距离损失 ...
窦丰(DOU Feng) +6 more
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, 2022 [[abstract]]人工智慧 (Artificial Intelligence，AI) 是現在非常火熱的技術，影像辨識、語音辨識都因為加入了AI而得到大幅度的進步。現在的AI是使用機器學習的方式，以神經網路為架構，只要提供夠多的樣本，再讓它經過反覆的訓練來向己找出解答，且不需要工程師的介入，它就能完成你要它執行的動作。 本專題採用App Inventor 團隊所發表 AI 影像辨識套件Personal Image Classifier (自訂影像分類器)作為人工智慧神經網路的訓練平台。以App ...
鐘子恩, 張世澄
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, 2021 人工智能发展到今天所面临的主要问题是：“缺乏知识”。我们的机器还没有掌握总结知识、积累知识、应用知识、传承知识和建立组织管理知识体系的能力。今天人工智能面临的挑战，也为中国人工智能的发展带来了难得的战略机遇。中国人工智能发展战略的关键就是直面挑战，大力发展人工智能的基础理论，确立自己的学术自信和话语权，在人工智能赋能上下大功夫，建立自己的人工智能工业体系，实实在在地在有选择的重点领域中，以人工智能技术作为推动力 ...
郭毅可, Yike
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智能科学与技术学报, 2023 由于AlphaGo和ChatGPT等生成式人工智能对全球社会的冲击，智能科学与技术的治理问题已成为世界性的焦点问题。为了解决此问题，将传统社会治理方法与人工智能前沿技术相结合，提出了治理这一问题的一种不同的解决方案。
王飞跃
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Kongjian kexue xuebao, 2023 近年来，不断发射的空基观测台持续传送回海量日面图像及日地间气象数据，为采用人工智能技术对太阳活动进行预报预警提供了数据基础。但是，极端天气爆发少，样本量较少；中等程度爆发稍多，样本量较多；常规无爆发天气常见，样本较为集中，样本不均衡状况严重影响机器学习方法在空间天气领域的广泛应用。本文面向多源多通道多尺度日面图像信息，构建了来自SOHO和SDO的1996－2015年日面活动区图像数据集；针对数据分布的不平衡，对太阳活动区图像作耀斑分级与预报。在对比分析元学习算法的基础上 ...
郭 大蕾 +3 more
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A Systematic Scoping Review of Self‐Regulated Learning With AI in Language Education
International Journal of Applied Linguistics, EarlyView.ABSTRACT The rapid development of artificial intelligence (AI) technology has brought new opportunities for second/foreign language (L2) education while also raising concerns about the use of AI tools. This systematic scoping review provides a snapshot of the current state of research situated at the intersection of self‐regulated learning (SRL) and AI
Zheng Zhang, Sihan Zhou, Barry Bai
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International Journal of Applied Linguistics, EarlyView.ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT Second or foreign language (L2) speaking is a key aspect of L2 competence. While GenAI shows potential to address challenges in L2 speaking development, its role remains insufficiently understood. Self‐Determination Theory (SDT) could explain student language learning engagement. Therefore, this systematic review examines how GenAI affordances
Yanyan Catherine Lin +3 more
wiley +1 more source
Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
International Journal of Applied Linguistics, EarlyView.ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source