Výsledky vyhledávání - "G. Sh Shkaberina"

Approach to text data clustering based on molecular chemical reactions in agricultural and food industries

Autor: M Gao, Zh Ma, N L Rezova, G Sh Shkaberina, L A Kazakovtsev

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b974aec3026c1ef9a17917d9107e8fa
https://doi.org/10.1088/1755-1315/1112/1/012056

Zobrazit plný text záznamu

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

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.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::410a4a9df87e1be4cd28d7f950e3ffce
https://doi.org/10.32517/0234-0453-2018-33-8-20-25

Zobrazit plný text záznamu

Identification of the Optimal Set of Informative Features for the Problem of Separating of Mixed Production Batch of Semiconductor Devices for the Space Industry

Autor: Lev A. Kazakovtsev, E. M. Tovbis, Viktor Orlov, G. Sh Shkaberina

Publikováno v: Mathematical Optimization Theory and Operations Research ISBN: 9783030333935
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

Zobrazit plný text záznamu

Efficiency of distance measures in the automatic grouping of electronic radio devices by k-means algorithm

Autor: G. Sh Shkaberina, E. M. Tovbis, A P Romanov, A O Shemyakov, N V Lukonin, Lev A. Kazakovtsev

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b0b4fb8d3d445d01e1524caffc618466
https://doi.org/10.1088/1757-899x/734/1/012136

Zobrazit plný text záznamu

Detection of homogeneous production batches of semiconductor devices by greedy heuristic clustering algorithms with special distance metrics

Autor: E. V. Lapunova, V. P. Popov, Lev A. Kazakovtsev, G. Sh Shkaberina, I P Rozhnov

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf26464aeac6df9565d4a349dece9751
https://doi.org/10.1088/1757-899x/734/1/012104

Zobrazit plný text záznamu

New method of training two-layer sigmoid neural networks using regularization

Autor: Lev A. Kazakovtsev, Vladimir Kazakovtsev, Vladimir N. Krutikov, G. Sh Shkaberina

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::109fae23c36508be1b1e1307373d8863
https://doi.org/10.1088/1757-899x/537/4/042055

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání