دانلود مقاله انگلیسی رایگان:وقتی سیستم های خودمختار با دقت و قابلیت انتقال از طریق هوش مصنوعی روبرو می شوند : بررسی - 2020
بلافاصله پس از پرداخت دانلود کنید
دانلود مقاله انگلیسی هوش مصنوعی رایگان
  • When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey
    When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey


    ترجمه فارسی عنوان مقاله:

    وقتی سیستم های خودمختار با دقت و قابلیت انتقال از طریق هوش مصنوعی روبرو می شوند : بررسی


    منبع:

    Sciencedirect - Elsevier - Patterns, 1 (2020) 100050. doi:10.1016/j.patter.2020.100050


    نویسنده:

    Chongzhen Zhang,1,5 Jianrui Wang,1,5 Gary G. Yen,2 Chaoqiang Zhao,1 Qiyu Sun,1 Yang Tang,1,* Feng Qian,1 and J€urgen Kurths3,4


    چکیده انگلیسی:

    With widespread applications of artificial intelligence (AI), the capabilities of the perception, understanding, decision-making, and control for autonomous systems have improved significantly in recent years. When autonomous systems consider the performance of accuracy and transferability, several AI methods, such as adversarial learning, reinforcement learning (RL), and meta-learning, show their powerful performance. Here, we review the learning-based approaches in autonomous systems from the perspectives of accuracy and transferability. Accuracy means that a well-trained model shows good results during the testing phase, in which the testing set shares a same task or a data distribution with the training set. Transferability means that when a well-trained model is transferred to other testing domains, the accuracy is still good. Firstly, we introduce some basic concepts of transfer learning and then present some preliminaries of adversarial learning, RL, and meta-learning. Secondly, we focus on reviewing the accuracy or transferability or both of these approaches to show the advantages of adversarial learning, such as generative adversarial networks, in typical computer vision tasks in autonomous systems, including image style transfer, image super-resolution, image deblurring/dehazing/rain removal, semantic segmentation, depth estimation, pedestrian detection, and person re-identification. We furthermore review the performance of RL and meta-learning from the aspects of accuracy or transferability or both of them in autonomous systems, involving pedestrian tracking, robot navigation, and robotic manipulation. Finally, we discuss several challenges and future topics for the use of adversarial learning, RL, and meta-learning in autonomous systems.


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 28
    حجم فایل: 2742 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi