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Titlebook: Computational Intelligence and Intelligent Systems; 10th International S Hu Peng,Changshou Deng,Yong Liu Conference proceedings 2019 Spring

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樓主
發(fā)表于 2025-3-21 18:54:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Intelligence and Intelligent Systems
副標題10th International S
編輯Hu Peng,Changshou Deng,Yong Liu
視頻videohttp://file.papertrans.cn/233/232423/232423.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Computational Intelligence and Intelligent Systems; 10th International S Hu Peng,Changshou Deng,Yong Liu Conference proceedings 2019 Spring
描述This book constitutes the thoroughly refereed proceedings of the 10th International Symposium, ISICA 2018, held in Jiujiang, China, in October 2018.The 32 full papers presented were carefully reviewed and selected from 83 submissions.?The papers are organized in topical sections?on nature-inspired computing; bio-inspired computing; novel operators in evolutionary algorithms; automatic object segmentation and detection; and image colorization; multilingual automatic document classication and translation; knowledge-based articial intelligence; predictive data mining..
出版日期Conference proceedings 2019
關鍵詞artificial intelligence; clustering; evolutionary algorithms; genetic algorithms; image processing; image
版次1
doihttps://doi.org/10.1007/978-981-13-6473-0
isbn_softcover978-981-13-6472-3
isbn_ebook978-981-13-6473-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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978-981-13-6472-3Springer Nature Singapore Pte Ltd. 2019
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,ICF — Ein Denkmodell mit System,n but poor at exploitation and easily falls into local optimum. In order to overcome these shortcomings and improve the efficiency of the algorithm, the Uniform Local Search Artificial Bee Colony (UGABC) algorithm has been proposed in this paper. The algorithm greatly improves the exploitation abili
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Stottern bei Kindern und Jugendlichennsive study on Gaussian spark operator in enhanced fireworks algorithm (EFWA) reveals that the search trajectory is limited by the difference vector and the diversity of swarm is not effectively increased by new sparks adding. An improved version of EFWA (IEFWA) is proposed to overcome these limitat
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Stottern bei Kindern und Jugendlichenami combines huge parallelism and massive storage capacity of DNA computing. In the calculation process, it can effectively avoid the number of experimental operations required by other DNA computing models. It greatly reduces the time consumption and the rate of misinterpretation, thus providing an
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