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The system for testing intelligence based on factor models and self-organizing feature maps


A.S. Panfilova

Presented is a new testing system based on using the factor models and self-organizing feature maps as well as the method of filtering undesirable environment influence. Elimination of this influence results is performed by comparing the observed and predicted answers to the test tasks using the Kalman’s filter, which is adapted to solve the problem. Factor models describe the test procedure and influence of factors of genetics and environment on the observed parameters. The testing procedure is optimized by reducing the number of tasks using the distribution of measures to belong to different ability levels after performing each test task provided the required level of conclusion reliability is obtained. The proposed approach has advantages over the previously used methods of testing, that is caused it more informative related with the influence of the time factor on the test results.

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