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Titlebook: Hybrid Intelligent Systems; 17th International C Ajith Abraham,Pranab Kr. Muhuri,Niketa Gandhi Conference proceedings 2018 Springer Interna

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發(fā)表于 2025-3-21 18:59:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Hybrid Intelligent Systems
副標(biāo)題17th International C
編輯Ajith Abraham,Pranab Kr. Muhuri,Niketa Gandhi
視頻videohttp://file.papertrans.cn/431/430103/430103.mp4
概述Includes recent research on Hybrid Intelligent Systems.Presents the proceedings of the 17th International Conference on Hybrid Intelligent Systems (HIS 2017), which was held in Delhi, India from Decem
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Hybrid Intelligent Systems; 17th International C Ajith Abraham,Pranab Kr. Muhuri,Niketa Gandhi Conference proceedings 2018 Springer Interna
描述This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, 2017. Reflecting the awareness in the respective academic communities that combined approaches are essential to solving the remaining tough problems in computational intelligence, the HIS is a premier conference focused on the hybridization of intelligent systems. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
出版日期Conference proceedings 2018
關(guān)鍵詞Hybrid Intelligent Systems; Hybridization of intelligent systems; Hybrid Computational Intelligence; HI
版次1
doihttps://doi.org/10.1007/978-3-319-76351-4
isbn_softcover978-3-319-76350-7
isbn_ebook978-3-319-76351-4Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network,tivated us to propose a Semi-Supervised technique with the integration of FCM and Artificial Neural Network (ANN). In this regard, ANN is trained twice with the certain amount of high membership and ground truth points. Thereafter, rest of the points is classified using such trained ANN. Here nine d
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Improving Modified Differential Evolution for Fuzzy Clustering,MoDEFC-V2 and MoDEFC-V3 in order to do the underlying optimization such as clustering of patterns better. The effectiveness of the proposed versions is demonstrated for two synthetic and four real-life datasets. Moreover, the superiority of MoDEFC-V2 and MoDEFC-V3 is shown by comparing with state-of
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Fouzia Kahloun,Sonia Ayachi Ghannouchien über das Urteilen, d. h. dem Verbinden einfacher Ideen und Begriffe durch den . zu einer Behauptung. Im dritten Teil über das Schlie?en wird dann die F?higkeit der . behandelt, aus mehreren Urteilen ein anderes zu bilden. Schlie?lich wird in der Methodenlehre noch ausgeführt, wie diese drei psych
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