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

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Artificial Intelligence and Soft Computing – ICAISC 20089th International Co

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Distinguishing Tasks and Causes,a to find out how evaluated rule affects efficiency of detecting attacks. All experiments were conducted on Jordan network. Experimental results show the relationship between the rule and a length of SQL queries.

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Some Issues on Intrusion Detection in Web Applicationsa to find out how evaluated rule affects efficiency of detecting attacks. All experiments were conducted on Jordan network. Experimental results show the relationship between the rule and a length of SQL queries.

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Conference proceedings 2008e 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.

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Stable Learning Algorithm of Global Neural Network for Identification of Dynamic Complex Systemsrks into one global network. Stable learning algorithm of such a neural network is proposed. We derived sufficient condition of stability using the second Lyapunov method and proved that algorithm is stable even if stability conditions for some individual neural networks are not satisfied.

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Neural Network in Fast Adaptive Fourier Descriptor Based Leaves Classification algorithm significantly accelerates the process of descriptors calculation and enables almost eightfold reduction in the number of contour data with no effect on classification performance. Moreover the neural network classifier gives higher accuracies of classification in comparison to the minimum distance one nearest neighbor classifier.

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