Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency

Эндаумент фонд ТГУ!
Впиши своё имя в историю университета
- Сделать пожертвование -

Add to "Quick Collection"

Description	Size	Format
Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency	820 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1088/1757-899X/516/1/012010

Title: Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency
Creator: Syryamkin, Vladimir I.
|
Gorbachev, Sergey V.
|
Shikhman, M. V.
Date: 2019
DOI: 10.1088/1757-899X/516/1/012010
Description: The paper presents an example of modeling the algorithm operation. The paper analyses the modified Wang and Mendel MIMO-architecture of the adaptive fuzzy neural production network with a logical conclusion. It is distinguished by the automatic generation of a set of fuzzy rules based on a fuzzy decision tree and a hybrid algorithm for parameter adaptation by the neural network (centers, widths of membership functions, and conclusions) starting from the leaf nodes to the root nodes of the tree.

Relationships: Show Relationship Browser for this Object
collection(s): Факультет инновационных технологий
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в журналах
Source: IOP Conference Series: Materials Science and Engineering. 2019. Vol. 516. P. 012010 (1-6)
Language: eng

Created: 10-01-2020

1077 Visitors

861 Hits

230 Downloads

Факультет инновационных технологий Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency