Offers intelligent method of assessing the reliability of data (verification), in databases, based on the theory of artificial neural networks. The method consists of three steps: data clustering using the Kohonen network, training radial basic network and its computation using the validation database table rows. To create a radial basis networks and their training Backpropagation developed software tool. The proposed verification method of data can be used in various applications of information systems.
Keywords: database, relational algebra, verification, radial basis neural network training neural networks, Kohonen networks, clustering.

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