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AICI 2009已经进入IEEE explorer了 请能查EI的查查是否EI了呢？
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AICI 2009已经进入IEEE explorer了，由于我用的是外网，不是校园网，没办法查是否EI了。 能查EI的是否能帮帮 查查是否EI了呢？ 谢谢。。。 |
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nicer(金币+1): 2010-02-19 17:15
小木虫(金币+0.5):给个红包，谢谢回帖交流
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Accession number: 20095112553353 Title: Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings Source title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Abbreviated source title: Lect. Notes Comput. Sci. Volume: 5855 LNAI Monograph title: Artificial Intelligence and Computational Intelligence - International Conference, AICI 2009, Proceedings Issue date: 2009 Publication year: 2009 Language: English ISSN: 03029743 E-ISSN: 16113349 ISBN-10: 3642052525 ISBN-13: 9783642052521 Document type: Conference proceeding (CP) Conference name: International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009 Conference date: November 7, 2009 - November 8, 2009 Conference location: Shanghai, China Conference code: 78872 Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract: The proceedings contain 79 papers. The topics discussed include: an experimental research on vector control of induction motor based on simple model; an united extended rough set model based on developed set pair analysis method; learning rules from pairwise comparison table; research on constrained layout optimization problem using multi-adaptive strategies particle swarm optimizer; ARIMA model estimated by particle swarm optimization algorithm for consumer price index forecasting; self-organizing quantum evolutionary algorithm based on quantum dynamic mechanism; can moral hazard be resolved by common-knowledge in S4n-knowledge?; casuist BDI-agent: a new extended BDI architecture with the capability of ethical reasoning; a novel application for text watermarking in digital reading; a GP process mining approach from a structural perspective; multidisciplinary optimization of airborne radome using genetic algorithm; and fuzzy modeling for analysis of load curve in power system. Abstract type: (Edited Abstract) Page count: 753 Database: Compendex 楼主，已经收录了 |
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