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Titlebook: Advances in Computation and Intelligence; Third International Lishan Kang,Zhihua Cai,Yong Liu Conference proceedings 2008 Springer-Verlag

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發(fā)表于 2025-3-21 17:50:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Computation and Intelligence
期刊簡稱Third International
影響因子2023Lishan Kang,Zhihua Cai,Yong Liu
視頻videohttp://file.papertrans.cn/148/147117/147117.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Computation and Intelligence; Third International  Lishan Kang,Zhihua Cai,Yong Liu Conference proceedings 2008 Springer-Verlag
影響因子This book constitutes the refereed proceedings of the Third International Symposium on Intelligence Computation and Applications, ISICA 2008, held in Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learning systems, neural networks, classification and recognition, bioinformatics and bioengineering, evolutionary data mining and knowledge discovery, intelligent GIS and control, theory of intelligent computation, combinational and numerical optimization, as well as real-world applications.
Pindex Conference proceedings 2008
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沙發(fā)
發(fā)表于 2025-3-21 23:53:35 | 只看該作者
Pablo Moscato,Natalie Jane de Vriesed on cluster-degree was proposed, at the same time, velocity compensation of particle’s velocity was proposed in order to improving performance of PSO. So this paper is helpful for the choosing and adjustment of PSO parameters in practical application.
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地板
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0302-9743 very, intelligent GIS and control, theory of intelligent computation, combinational and numerical optimization, as well as real-world applications.978-3-540-92136-3978-3-540-92137-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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發(fā)表于 2025-3-22 12:06:22 | 只看該作者
Fundamentals of Systematic Strategy Work,nged as well. Through shifting away from well-learned data and focusing on not-yet-learned data by changing error functions for each individual among the ensemble, a good balanced learning could be achieved for the learned ensemble.
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Conference proceedings 2008Wuhan, China, in December 2008. The 93 revised full papers were carefully reviewed and selected from about 700 submissions. The papers are organized in topical sections on computational intelligence, evolutionary computation, evolutionary multi-objective and dynamic optimization, evolutionary learni
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