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Titlebook: Artificial Intelligence and Soft Computing; 12th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

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楼主: Objective
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,Einführung in die Fachsprachenforschung,mization problem in which the performance of the considered RBFN is maximized. In the paper the agent-based population learning algorithm finding the optimal or near optimal value of the RBF shape parameter is proposed and evaluated.
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Rationalisierung der Softwareerstellungexpressed in terms of the 20% test set error for the networks is assessed. By means of the experiments, it is shown that the appropriate pruning of the pattern layer neurons in the PNN enhances the performance of the classifier.
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Massenanwendung von Kleinstprozessrechnernn the basis of the SOM U-matrix. The results of the conducted experimental study on real data in the field of telecommunications fraud detection confirm the advantages and effectiveness of the proposed approach.
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Probabilistic Neural Network Structure Reduction for Medical Data Classificationexpressed in terms of the 20% test set error for the networks is assessed. By means of the experiments, it is shown that the appropriate pruning of the pattern layer neurons in the PNN enhances the performance of the classifier.
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Employing Self-Organizing Map for Fraud Detectionn the basis of the SOM U-matrix. The results of the conducted experimental study on real data in the field of telecommunications fraud detection confirm the advantages and effectiveness of the proposed approach.
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