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Titlebook: Advances in Computational Intelligence; Wen Yu,Edgar N. Sanchez Conference proceedings 2009 Springer-Verlag Berlin Heidelberg 2009 Virtual

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期刊全稱Advances in Computational Intelligence
影響因子2023Wen Yu,Edgar N. Sanchez
視頻videohttp://file.papertrans.cn/148/147138/147138.mp4
發(fā)行地址Presents latest research in Computational Intelligence.Proceedings of IWACI‘09 Workshop: 22nd-23th June, 2009 held in Mexico City
學(xué)科分類Advances in Intelligent and Soft Computing
圖書(shū)封面Titlebook: Advances in Computational Intelligence;  Wen Yu,Edgar N. Sanchez Conference proceedings 2009 Springer-Verlag Berlin Heidelberg 2009 Virtual
影響因子This book constitutes the proceedings of the second International Workshop on Advanced Computational Intelligence (IWACI 2009), with a sequel of IWACI 2008 successfully held in Macao, China. IWACI 2009 provided a high-level international forum for scientists, engineers, and educators to present state-of-the-art research in computational intelligence and related fields. Over the past decades, computational intelligence community has witnessed t- mendous efforts and developments in all aspects of theoretical foundations, archit- tures and network organizations, modelling and simulation, empirical study, as well as a wide range of applications across different domains. IWACI 2009 provided a great platform for the community to share their latest research results, discuss critical future research directions, stimulate innovative research ideas, as well as facilitate inter- tional multidisciplinary collaborations. IWACI 2009 received 146 submissions from about 373 authors in 26 countries and regions (Australia, Brazil, Canada, China, Chile, Hong Kong, India, Islamic Republic of Iran, Japan, Jordan, Macao, Malaysia, Mexico, Pakistan, Philippines, Qatar, Republic of Korea, Singapore, South
Pindex Conference proceedings 2009
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Betriebskapital und Betriebskredit,erving the mobile client. We present our simulation environment for the ubiquitous middleware and a classification performance evaluation where the proposed algorithm shows more accurate and provide more comprehensive structure compared to neural network based classifiers.
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,Die deutsche B?rse in einem freien Markt,ct behavior sequence data of the robot as the expression profiles, and then employ our framework to infer controllers automatically. To verify the proposed approach, experiments have been conducted and the results show that our regulatory model can be inferred for robot control successfully.
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B?rsengang deutscher Unternehmen in den USAor calculating the selling probability of a particular vacation package, Package Recognition – the use of Self Organizing Maps for recognizing patterns in past vacation package records, and Customer Interest Prediction – the use of association rule mining for determining the influence of customer characteristics on the vacation destination.
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