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

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發(fā)表于 2025-3-21 19:18:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Soft Computing – ICAISC 2008
期刊簡稱9th International Co
影響因子2023Leszek Rutkowski,Ryszard Tadeusiewicz,Jacek M. Zur
視頻videohttp://file.papertrans.cn/163/162319/162319.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Intelligence and Soft Computing – ICAISC 2008; 9th International Co Leszek Rutkowski,Ryszard Tadeusiewicz,Jacek M. Zur Conferenc
影響因子This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.
Pindex Conference proceedings 2008
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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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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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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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