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Titlebook: Lecture Notes in Computational Intelligence and Decision Making; Proceedings of the X Volodymyr Lytvynenko,Sergii Babichev,Svetlana Rade Co

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發(fā)表于 2025-3-28 16:57:35 | 只看該作者
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發(fā)表于 2025-3-28 21:46:37 | 只看該作者
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發(fā)表于 2025-3-28 22:59:43 | 只看該作者
Some Features of the Numerical Deconvolution of Mixed Molecular Spectraonsidered in this paper. It has been established that the presence of additive noise in the output mixed spectrum generates a noise component with an unidentified probability distribution law in the found weight coefficients. The power generated by the noise can be several orders of magnitude higher
44#
發(fā)表于 2025-3-29 05:25:39 | 只看該作者
Approach to Piecewise-Linear Classification in a Multi-dimensional Space of Features Based on Plane is proposed. The multidimensional feature space is reduced to the visual presentation space to determine the information content of the data. Optimized reduction of the space dimension to two-dimensional one applying multidimensional scaling methods has been used. The use of the piecewise linear con
45#
發(fā)表于 2025-3-29 11:09:38 | 只看該作者
Model of the Operator Dynamic Process of Acoustic Emission Occurrence While of Materials Deformingssion signals is considered. A model and algorithm for finding the operator of the dynamic process of the output signal appearance in the acoustic emission source are proposed. To find the dynamic process operator, the experimental results of the occurrence of AE signals when testing on four-point b
46#
發(fā)表于 2025-3-29 15:11:22 | 只看該作者
Euclidean Combinatorial Configurations: Continuous Representations and Convex Extensionsunderlying the possibility of applying continuous programming to optimization on them. A concept of Euclidean combinatorial configurations (e-configurations) is offered. Applications of f-representations in optimization and reformulations of extreme combinatorial problems as global optimization prob
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發(fā)表于 2025-3-29 18:26:00 | 只看該作者
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發(fā)表于 2025-3-29 21:47:59 | 只看該作者
49#
發(fā)表于 2025-3-30 01:19:01 | 只看該作者
Construction of the Job Duration Distribution in Network Models for a Set of Fuzzy Expert Estimatesty function of the execution time is proposed. This function allows us to build a .-distribution of a random variable over the entire domain of its definition for a combination of approximate points and interval expert estimates. This article describes also the approximation of linguistic estimates
50#
發(fā)表于 2025-3-30 06:32:46 | 只看該作者
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