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In the paper a new method of fuzzy clusterization for high dimensionality data is presented. The method is based on algorithm reduction of large samplings to samplings with significantly smaller volume without loss of any essential clustering information.
In this paper considered the immune object classification algorithm that works on the model selection of clones using sequential cloning competitive-target selection. The focus is on the mutation operators and the primary selection, principles of selection of target antigens. For the antibodies classification that have not been the primary selection we proposed using antibodies-delegates with known...
The unique approach to solving the problem of choosing experts groups in the system information-analytical research based on the use of induetive modeling paradigm to solving the cluster analysis tasks is proposed. This approach can also been used in many fields of applied researches pertaining to the problems of structuring, classification, clustering and modeling of complex systems.
In this paper the frequency terahertz detectors based on isotropic stratified structures are offered. In spite of the extreme simplicity of implementation, such devices are still not described in the literature and these are not manufactured by the telecommunications companies. The feasibility of creating such devices based on simple plane-parallel structures are shown. In this paper the function...
The practical problems solution shows that it is not always: the more source information is taken into account in the model the more precisely the result of modeling is. There is an optimal sample size for each specific problem of modeling. Such optimal format of data sample can be called its nucleus. The optimal size can be chosen by sorting of the available data formats with different steps and...
The article presents adaptive system for multidimensional non-stationary time series prediction in real-time. Its architecture matches of an adaptive filters and uses parallel connected neo-fuzzy neurons. Efficiency of the system was assessed during simulation test based on solving chaotic Lorenz attractor identification.
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