Классификация на основе кооперативных нейросетевых структур

Authors

  • Дмитрий Александрович Юрков Восточноукраинский национальный университет имени Владимира Даля ул. Тухачевского, 11, г. Луганск, Украина, 91050, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2009.22579

Keywords:

neuron network, method of synthesis, classification

Abstract

The method based on the use of artificial neuron networks with a fractal structure is offered. It allows to improve the quality of decision of the tasks of classification. A possibility  of the use of the method for the case of a small teaching selection is shown.

Author Biography

Дмитрий Александрович Юрков, Восточноукраинский национальный университет имени Владимира Даля ул. Тухачевского, 11, г. Луганск, Украина, 91050

Кандидат технических наук, доцент
Кафедра автоматизации и компьютерно-интегрированных технологий

References

  1. Методы классической и современной теории автоматического управления: Учебник в 5-ти тт.; 2-е изд., перераб. и доп. Т.5: Методы современной теории автоматического управления / Под ред. К.А. Пупкова, Н.Д. Егупова. – М.:Издательство МГТУ им. Н.Э. Баумана, 2004. – 784 с.
  2. Методы робастного, нейро-нечеткого и адаптивного управления: Учебник / Под ред. Н.Д. Егупова; издание 2-ое, стереотипное. - М.:Издательство МГТУ им. Н.Э. Баумана, 2002. – 744 с.
  3. Д. А. Юрков. Синтез нейронных сетей с фрактальной структурой. // Восточно-Европейский журнал передовых технологий. №4-3 (40) – Харьков: Технологический центр, 2009 г. С 39-44.
  4. Д.А. Юрков. Метод синтеза нейросетевых модельных структур. // Вісн. Східноукр. нац. ун-ту. – 2009. – № 5 (135). – С.115-122.
  5. Р. Дуда, П. Харт. Распознавание образов и анализ сцен. – М.:Мир, 1976. - 512 с.
  6. Гаскаров Д.В., Шаповалов В.И. Малая выборка. – М.: Статистика, 1978. – 248 с.

Downloads

Published

2009-10-20

How to Cite

Юрков, Д. А. (2009). Классификация на основе кооперативных нейросетевых структур. Eastern-European Journal of Enterprise Technologies, 5(3(41), 51–56. https://doi.org/10.15587/1729-4061.2009.22579

Issue

Vol. 5 No. 3(41) (2009): Control systems

Section

Control systems

License

Copyright (c) 2014 Дмитрий Александрович Юрков

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.