Zobrazeno 1 - 10
of 14
pro vyhledávání: '"G. Sh. Shkaberina"'
Publikováno v:
European Proceedings of Computers and Technology.
Publikováno v:
VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021).
Publikováno v:
Siberian Journal of Science and Technology. 21:347-354
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 1112:012056
We propose an algorithm for clustering short text fragments such as lists of ingredients in food products using the k-means algorithm in combination with the molecular chemical reactions algorithm. The solution obtained with k-means is used as an ini
Autor:
G. Sh. Shkaberina, Pavel O. Krasnov
Publikováno v:
Informatics and Education. :20-25
Use of the Analytic Hierarchy Process for work consistency estimation of experts of the regional subject commissions on assessment of the problems with detailed answers of the General State Exam and the Unified State Exam is considered in the paper.
Publikováno v:
Mathematical Optimization Theory and Operations Research ISBN: 9783030333935
MOTOR (2)
MOTOR (2)
In this paper, we investigate the problem of separation of a mixed production batch of semiconductor devices of space application into homogeneous production batches. The results of the mandatory testing for each item contain a large number of parame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59572e8f368a8346d9b77f2692121330
https://doi.org/10.1007/978-3-030-33394-2_32
https://doi.org/10.1007/978-3-030-33394-2_32
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 734:012136
This study investigates the problem of separation mixed lot of semiconductor devices for space applications into homogeneous production batches. The impact of distancemeasures in clustering algorithmk-means on the accuracy of the separating a mixed p
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 734:012104
Authors present a comparative efficiency analysis of application of k-means and k-medoids clustering models for solving the problem of grouping of semiconductor devices into homogeneous production batches using three types of metrics: Euclidean dista
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 537:042055
We propose a complex learning algorithm for sigmoid Artificial Neural Networks (ANN). We introduce the concept of the working area of a neuron for sigmoid ANNs in the form of a band in the attribute space, its width and location associated with the c
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 537:032088