The use of information-based model evaluation criteria in the GMDH algorithm
Systems Analysis Modelling Simulation
Selforganizing methods modelling with “concentrated” variables
Systems Analysis Modelling Simulation
Sufficient conditions and convergence rate using different criteria for model selection
Systems Analysis Modelling Simulation
Systems Analysis Modelling Simulation - Special issue on automatic model generation
Problems of future GMDH algorithms development
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Applying GMDH algorithm to extract rules from examples
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Robust polynomial neural networks in quantative-structure activity relationship studies
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Using GMDH for modeling economical indices of mine opening
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Medical data analysis using self-organizing data mining technologies
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Using GMDH in ecological and socio-economical monitoring problems
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
Modeling of student's quality by means of GMDH algorithms
Systems Analysis Modelling Simulation - Special issue: Self-organising modelling and simulation
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At present GMDH algorithms give us an explicit model description (equations, rules, patterns) of complex ill-defined systems in the case of very short and noisy data samples. Therefore this is a necessary supplement to simulation methodology. Self-organising modelling and in special the GMDH approach is suitable and valuable as a part of the whole simulation process, which is demonstrated in macroeconomic simulation. More than this the paper will give an overview about the sources of traditional GMDH and about further development of self-organising modelling which is implemented in "KnowledgeMiner".