Advanced Intelligent Computing

Advanced Intelligent Computing

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This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on neural networks; machine learning theory and methods; fuzzy theory and models; fuzzy systems and soft computing; evolutionary learning a genetic algorithms; swarm intelligence and optimization; intelligent computing in computer vision; intelligent computing in image processing; biometrics with applications to individual security/forensic sciences; intelligent image/document retrievals; natural language processing and computational linguistics; intelligent data fusion and information security; intelligent computing in pattern recognition; intelligent agent and web applications; intelligent computing in scheduling; intelligent control and automation.Parzen window with PNN makes the user to define a classifier which minimizes the expected risk of wrongly classifying object. ... Thus, the new data sets are converted to the MATLAB environment and operated by data normalization and split process, later introduced to SVM classifier. ... In SVM classifier, first the data is mapped into a higher dimensional space with RBF kernel and classified via softanbsp;...

Title:Advanced Intelligent Computing
Author:De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa
Publisher:Springer - 2012-02-10


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