Search Results - "Ivanov, A.I."

Variants of Zipf’s hyperbolic law for fractal description of probability-rank distribution of letters in English technical texts by Ivanov, A.I., Ivanov, A.P., Yunin, A.P., Eremenko, R.V.

“…Background. Extension of the scope of the classical hyperbolic Zipf’s law. Previously, this law was used to statistically describe the probability of…”
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A fast algorithm for robust estimates of the Hurst exponent when analyzing small samples of biometric and market data by Volchikhin, V.I., Ivanov, A.I., Tikhomirov, V.A., Tarasov, D.V.

“…Background. Currently, the Hurst exponent is quite easily interpreted in relation to biometric, medical and economic data, but it is customary to evaluate it…”
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ENTROPY-NEURAL NETWORK METHOD FOR ELIMINATING INCONSISTENCIES IN EXPERT ASSESSMENTS by Kubasov, I.A., Ivanov, A.I.

“…Background. The paper investigates ways to solve the problem of eliminating the possible inconsistency of opinions of different experts when evaluating the…”
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Using the inverse Pearson’s chi-square test in the multiplicative synthesis of new statistical tests from already known tests to test the hypothesis of normal distribution of small sample data by Ivanov, A.I., Ivanov, A.P., Kupriyanov, E.N.

“…Background. The study considers the issue of analyzing small samples by synthesizing new statistical tests generated by combining the classical statistical…”
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The effect of the moisture factor on the settling of mycorrhiza forming agaricomycetes in the conditions of the natural monument of regional significance “Nikonovsky Bor” by Ivanov, A.I., Mironova, A.A., Ermolaeva, A.A.

“…Background. One of the topical areas for the protection of biological diversity is the inclusion of habitats of rare species in the composition of specially…”
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Doubling the number of statistical Cramer – von Mises criterion by differentiating small samples with normal and uniform distribution of biometric data by Ivanov, A.I., Malygin, A.Yu, Polkovnikova, S.A.

“…Background. In the last century, 4 statistical tests were created that can be combined into the Cramer – von Mises criterion. The purpose of this work is to…”
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MULTIPLICATIVE NEURAL NETWORK COMBINATION OF HURST AND MUROTA-TAKEUCHI STATISTICAL CRITERIA IN CHECKING THE HYPOTHESIS OF NORMALITY OF SMALL SAMPLES by Ivanov, A.I., Ivanov, A.P., Kupriyanov, E.N.

“…Background. The problem of analyzing small samples by combining several statistical criteria created in the last century is considered. The Hirst test, the…”
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New statistical high power test, obtained by differentiating random data of a small sample by Ivanov, A.I., Malygin, A.Yu, Polkovnikova, S.A.

“…Background. The research considers the problem of statistical analysis of small samples by synthesizing new statistical criteria. Materials and methods. It is…”
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Extension of statistical Cramer – von Mises tests using Laguerre polynomials while testing the hypothesis of small samples’ normality by Ivanov, A.I., Ivanov, A.P., Kupriyanov, E.N.

“…Background. The research considers the problem of analyzing small samples using an example of the synthesis of new statistical tests generated by the classical…”
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Secure-design artificial intelligence: the advantages of replacing classical artificial neurons with neurons of geometric mean and harmonic mean by Lukin, V.S., Ivanov, A.I., Perfilov, K.A.

“…Background. Responsible artificial intelligence applications must run in a secure execution. One of the directions for creating such applications is the use of…”
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Correlation test for code sequence randomness with almost linear computational complexity by Volchikhin, V.I., Ivanov, A.I., Ivanov, A.P., Strokov, A.V.

“…Background. The purpose of this article is to create and study a new test of random code sequence quality with low computational complexity. Materials and…”
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Metabolic correction by pyruvate halts acquired epilepsy in multiple rodent models by Popova, I., Malkov, A., Ivanov, A.I., Samokhina, E., Buldakova, S., Gubkina, O., Osypov, A., Muhammadiev, R.S., Zilberter, T., Molchanov, M., Paskevich, S., Zilberter, M., Zilberter, Y.

“…Metabolic intervention strategy of epilepsy treatment has been gaining broader attention due to accumulated evidence that hypometabolism, manifested in humans…”
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Multi-criteria neural network estimation of correlation coefficients for processing small samples of biometric data by Ivanov, A.I., Serikova, Yu.I., Zolotareva, T.A., Polkovnikova, S.A.

“…Background. Over 120 years, Pearson’s criterion has been widely used to calculate correlation coefficients. Unfortunately, its use generates significant errors…”
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TESTING THE QUALITY OF NEURAL NETWORK ERROR CORRECTION FOR CALCULATING THE STANDARD DEVIATION OF SMALL SAMPLES OF BIOMETRIC DATA by Volchikhin, V.I., Ivanov, A.I., Malygina, E.A., Kachalin, S.V., Polkovnikova, S.A.

“…Background. The statistical analysis of small samples in 16 experiments using the standard deviation estimation is considered. The aim of the work is the…”
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The growth of the corrective ability of neural network structures with redundancy due to the replacement of binary neurons in them with ternary neurons by Ivanov, A.I., Ivanov, A.P., Makarychev, P. P., Bezyaev, A.V., Savinov, K.N.

“…Background. Obtaining a numerical estimate of the transition effect from ordinary binary neurons with two output states “0”, “1” to neurons with three output…”
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New, dense, and fast scintillators based on rare-earth tantalo-niobates by Voloshyna, O.V., Boiaryntseva, I.A., Baumer, V.N., Ivanov, A.I., Korjik, M.V., Sidletskiy, O.Ts

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REVIEW OF NEW STATISTICAL CRITERIA FOR VERIFICATION OF THE HYPOTHESIS OF NORMALITY AND UNIFORMITY OF DISTRIBUTION OF DATA IN SMALL SAMPLES by Ivanov, A.P., Ivanov, A.I., Bezyaev, A.V., Kupriyanov, E.N., Bannykh, A.G., Perfilov, K.A., Lukin, V.S., Savinov, K.N., Polkovnikova, S.A., Serikova, Yu.I., Malygin, A.Yu

“…Background. The problem of parallel use of a set of statistical criteria aimed at testing one or another statistical hypothesis is considered. As a rule, on…”
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AN ALBUM OF NINE CLASSICAL STATISTICAL CRITERIA FOR TESTING THE HYPOTHESIS OF NORMAL OR UNIFORM DISTRIBUTION OF DATA IN SMALL SAMPLES by Ivanov, A.P., Ivanov, A.I., Malygin, A. Yu, Bezyaev, A.V., Kupriyanov, E.N., Bannykh, A.G., Perfilov, K.A., Lukin, V.S., Savinov, K.N., Polkovnikova, S.A., Serikova, Yu.I.

“…Background. The problem of parallel use of a set of statistical criteria aimed at testing one or another statistical hypothesis is considered. Materials and…”
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Arguments for tightness testing of nuclear system pipeline parts, attached to pressureless tanks by Ivanov, A.I., Kritchenkov, A.S., Egorov, M Yu

“…Actual standard, namely Rules for design and safe operation of equipment and pipelines of nuclear power installations (2015) does not regulate strength and…”
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Regularization of automatic training of Mahalanobis neurons for small samples of examples of the “Own” image by Zolotareva, T.A., Ivanov, A.I., Selishchev, O.V., Skudnev, D.M.

“…The paper considers the problem of regularization of automatic stable training of networks of artificial Mahalanobis neurons that simultaneously perform…”
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