Titlebook: Data Stream Mining & Processing; Third International Sergii Babichev,Dmytro Peleshko,Olena Vynokurova Conference proceedings 2020 Springer

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https://doi.org/10.1007/978-3-319-71011-2vantage is the finite learning time in the case when a constant learning rate belongs to (0, 2]. Next, we propose a new rule of the choice of initial approximation significantly accelerating the convergence both for on-line and for off-line learning. Finally, the simulation results are given for qua

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https://doi.org/10.1007/978-3-030-36636-0, density, and direction of Ukraine’s GDP dependence on specific indicators of innovative and scientific and technical activity are evaluated). The research proves public demand, evaluates current trends, and makes forecasts of the indicators of innovative and scientific and technical activity and t

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https://doi.org/10.1007/978-3-031-08443-0tion of a linear combination of orthogonal functions by the optimal linear associative memory (OLAM) method gives a satisfactory result even if the noise level is three times higher than the useful signal level. The area of satisfactory application of OLAM for the decomposition of non-orthogonal fun

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Hiroshi Okamoto,Kazuhisa Ichikawaevel: the chi-square criterion, Renyi divergence, the non-parametric criterion and z-criterion. Additionally, the usage of Manhattan distance between the values of the distribution matrices was tested. The experimental part of the investigations presents the results of calculations and software mode

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