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Titlebook: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence; 5th International Co De-Shuang Huang,K

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书目名称Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence
副标题5th International Co
编辑De-Shuang Huang,Kang-Hyun Jo,Vitoantonio Bevilacqu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence; 5th International Co De-Shuang Huang,K
描述The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring - gether researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the multifaceted aspects of intelligent computing. ICIC 2009, held in Ulsan, Korea, September 16-19, 2009, constituted the 5th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005 held in Shanghai, Qingdao, Kunming, and Hefei, China, 2008, 2007, 2006, and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the p- ture of contemporary intelligent computing techniques as an integral concept that hi- lights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Application
出版日期Conference proceedings 2009
关键词artificial intelligence; artificial life; bioinformatics; cognition; computational intelligence; data min
版次1
doihttps://doi.org/10.1007/978-3-642-04020-7
isbn_softcover978-3-642-04019-1
isbn_ebook978-3-642-04020-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Ulrich Elwert,Alexander Flassak is proposed to perform the discrete cosine transform for visual images. The structure and the properties of the network are detailed in this paper. Simulation results show that the network is able to perform the discrete cosine transform for visual images. Based on this mechanism, the key features
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https://doi.org/10.1007/978-3-663-08100-5han a single SOM since it is adapted to input data, mirroring inherent hierarchical relations among them. The adaptation process of the GHSOM architecture is controlled by two parameters. However, these parameters have to be established in advance and this task is not always easy. In this paper, a n
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