Department for Information Technologies of Inductive Modelling

• theory of inductive modelling of complex processes from observation data on the basis of the group method of data handling (GMDH);
• theory and methods of structural identification of optimum forecasting models under conditions of incomplete a priori information;
• creation of intellectual information technologies and tools of modelling and forecasting of complex processes;
• development of methods and solving of applied problems of analysis, modeling, forecasting and optimization of economical, ecological and technological processes.

• GMDH as a method of automatic construction (self organization) of mathematical models of complex objects and processes on the basis of short sets of noisy data;
• theory of inductive (noise-immunity) modelling on the basis of GMDH;
• theory of structural identification of models with minimum error variance;

• The problem-oriented interactive system ASTRID for the GMDH-based modelling of complex processes.
• A new class of GMDH algorithms - combinatorial-selective - with the polynomial dependence of computing complexity on the number of input variables;
• Method of renewal of omissions in the interconnected statistical data series of economical and ecological processes by means of GMDH;
• Neuronets with active neurons which algorithms based on GMDH.

• The department is keeping in touch with the scientists of Russia, China, Germany, Czech, USA.
• The department holds the seminar "Modelling of ecology-economic systems on the base of new information technologies".

• System of intellectual support of operative decisions for socio-economic processes management.
• Technology of evaluation of the national economic safety.
• Technology of exposure of adverse economical tendencies.