The theme of secure applications is considered, using various techniques and the proposal of a graph calculation model of testograms

Keywords: application security testing, testograms, test trees

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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