Titlebook: Intelligent Computing; International Confer De-Shuang Huang,Kang Li,George William Irwin Conference proceedings 2006 Springer-Verlag Berlin

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Parley

rheumatism

Xuejin Gao,Pu Wang,Chongzheng Sun,Jianqiang Yi,Yating Zhang,Huiqing Zhangiegen­ den Schrift eine neue, den Fortschritten gerecht werdende Auflage erforderlich erschien. Um die Abgrenzung des Gebietes klarer werden zu lassen, habe ich den Unter­ titel hinzugefügt. Der im Haupttitel gewählte Ausdruck wird gelegentlich auch in einem weiteren Sinn benutzt. Die Darstellung st

Engaged

A Balanced Learning CMAC Neural Networks Model and Its Application to Identificationss in cerebellar model articulation controllers (CMAC). In the conventional CMAC learning scheme, the corrected amounts of errors are equally distributed into all addressed hypercubes, regardless of the credibility of those hypercubes. The proposed improved learning approach is to use the inversion

Hdl348

rectocele

A Neural Network Approach to Medical Image Segmentation and Three-Dimensional Reconstructionhree-dimensional model, representing the selected object. In this work, was proposed a neural network segmentation based on Self-Organizing Maps (SOM) and a three-dimensional SOM architecture to create a 3D model, starting from 2D data of extracted contours. The utilized dataset consists of a set of

CROW

finale

A Novel Multi-class Support Vector Machine Based on Fuzzy Theorieslems to be solved in this field: one is the multi-class classification problem, and the other is the sensitivity to the noisy data. In order to overcome these difficulties, a novel method of fuzzy compensation multi-class support vector machine, named as FC-SVM, is proposed in this paper. This metho

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