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Titlebook: Intelligent Computing Theories and Technology; 9th International Co De-Shuang Huang,Kang-Hyun Jo,Kyungsook Han Conference proceedings 2013

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发表于 2025-3-21 16:15:02 | 显示全部楼层 |阅读模式
书目名称Intelligent Computing Theories and Technology
副标题9th International Co
编辑De-Shuang Huang,Kang-Hyun Jo,Kyungsook Han
视频videohttp://file.papertrans.cn/470/469494/469494.mp4
概述Up-to-date results.Fast-track conference proceedings.State-of-the-art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Intelligent Computing Theories and Technology; 9th International Co De-Shuang Huang,Kang-Hyun Jo,Kyungsook Han Conference proceedings 2013
描述This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. The 79 revised full papers presented were carefully reviewed and selected from 561 submissions. The papers are organized in topical sections on systems biology and computational biology; cognitive science and computational neuroscience; knowledge discovery and data mining; machine learning theory and methods; biomedical informatics theory and methods; complex systems theory and methods; natural language processing and computational linguistics; fuzzy theory and models; fuzzy systems and soft computing; particle swarm optimization and niche technology; swarm intelligence and optimization; unsupervised and reinforcement learning; intelligent computing in bioinformatics; intelligent computing in Petri nets/transportation systems; intelligent computing in social networking; intelligent computing in network software/hardware; intelligent control and automation; intelligent data fusion and information security; intelligent sensor networks; intelligent fault diagnosis; intelligent computing in signal processing; intelligent computing
出版日期Conference proceedings 2013
关键词cloud model; data mining; multi-agent systems; self-adaptive; swarm intelligence; algorithm analysis and
版次1
doihttps://doi.org/10.1007/978-3-642-39482-9
isbn_softcover978-3-642-39481-2
isbn_ebook978-3-642-39482-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Content-Based Diversifying Leaf Image Retrievale also proposed a new evaluation function - Maximal Scatter Diversity (MSD) static evaluation function. Experimental results show that our approach can achieve good performance with improving the diversity of the retrieval results without reduction of their relevance.
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Colon Cell Image Segmentation Based on Level Set and Kernel-Based Fuzzy Clusteringimages, which are commonly used for the study of many normal and neoplastic procedures. The experimental results show the superiority of the proposed clustering algorithm in comparison with several existing techniques.
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A Hybrid Attractive and Repulsive Particle Swarm Optimization Based on Gradient Searchheory, The hybrid PSO converges to the global minima with higher probability than some stochastic PSO such as ARPSO. Finally, the experiment results show that the proposed hybrid algorithm has better convergence performance with better diversity than some classical PSOs.
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Model of Opinion Interactions Base on Evolutionary Game in Social Networke different kinds of player with respective payoff. Then the evolutionary game model simulates a group of individuals participating in a discussion, aiming at persuading opponent into an agreement. Our results show some characteristics consistent with facts, and also offer possible explanations for the emergence of some real features.
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A New Gene Selection Method for Microarray Data Based on PSO and Informativeness Metricd by the new method reveal the data structure highly hided in the microarray data and therefore improve the classification accuracy rate. Experiment results on two microarray datasets achieved by the proposed method verify its effectiveness and efficiency.
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