Titlebook: Artificial Intelligence and Soft Computing – ICAISC 2008; 9th International Co Leszek Rutkowski,Ryszard Tadeusiewicz,Jacek M. Zur Conferenc

Extraneous

书目名称Artificial Intelligence and Soft Computing – ICAISC 2008影响因子(影响力)




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008影响因子(影响力)学科排名




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008网络公开度




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008网络公开度学科排名




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008被引频次




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008被引频次学科排名




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008年度引用




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008年度引用学科排名




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008读者反馈




书目名称Artificial Intelligence and Soft Computing – ICAISC 2008读者反馈学科排名

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Fast and Robust Way of Learning the Fourier Series Neural Networks on the Basis of Multidimensional nted. The method proposed represents high speed of operation and outlier robustness. It allows easy reduction of network structure following its training process. The paper presents also the ways of applying the method to modelling of dynamic controlled systems. It is very easy to prepare a program which would allow to use the procedure proposed.

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Nonlinear Function Learning Using Radial Basis Function Networks: Convergence and Ratessk minimization and complexity regularization. We study convergence of the RBF networks for various radial kernels as the number of training samples increases. The rates of convergence are also examined.

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讽刺滑稽戏剧

Listening to Clients: Attending Skills,erm “complex system” we understand a system containing interconnected sub processes (elementary processes), which can operate separately. Each element of the complex system is modeled by a multi-input, multi-output neural network. A model of the whole system is obtained by composing all neural netwo

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被告

Facilitating the Genetic Counseling Processional WWW-newsgroup-document clustering problem. The collection of 19 997 documents (e-mail messages of different . newsgroups) available at WWW server of the School of Computer Science, Carnegie Mellon University (www.cs.cmu.edu/ TextLearning/datasets.html) has been the subject of clustering. A bro

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