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Titlebook: Modelling and Development of Intelligent Systems; 6th International Co Dana Simian,Laura Florentina Stoica Conference proceedings 2020 Spri

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發(fā)表于 2025-3-21 17:42:59 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Modelling and Development of Intelligent Systems
副標題6th International Co
編輯Dana Simian,Laura Florentina Stoica
視頻videohttp://file.papertrans.cn/637/636575/636575.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Modelling and Development of Intelligent Systems; 6th International Co Dana Simian,Laura Florentina Stoica Conference proceedings 2020 Spri
描述.This volume constitutes the refereed proceedings of the 6th International Conference on Modelling and Development of Intelligent Systems, MDIS 2019, held in Sibiu, Romania, in October 2019..The 13 revised full papers presented in the volume were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on adaptive systems; conceptual modelling; data mining; intelligent systems for decision support; machine learning..
出版日期Conference proceedings 2020
關鍵詞artificial intelligence; computer networks; computer programming; computer systems; engineering; Human-Co
版次1
doihttps://doi.org/10.1007/978-3-030-39237-6
isbn_softcover978-3-030-39236-9
isbn_ebook978-3-030-39237-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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https://doi.org/10.1007/978-3-030-39237-6artificial intelligence; computer networks; computer programming; computer systems; engineering; Human-Co
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Modelling and Development of Intelligent Systems978-3-030-39237-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Conference proceedings 2020held in Sibiu, Romania, in October 2019..The 13 revised full papers presented in the volume were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on adaptive systems; conceptual modelling; data mining; intelligent systems for decision support; machine learning..
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pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization a set of standard test functions and performance measures taken from the specialized literature. Results are compared with respect to its serial counterpart and with respect to three algorithms representative of the state-of-the-art in the area: NSGA-II, MOEA/D and MOEA/D-DE.
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