Adaptive neuro-fuzzy classifier for evaluating the technology effectiveness based on the modified Wang and Mendel fuzzy neural production MIMO-network

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Adaptive neuro-fuzzy classifier for evaluating the technology effectiveness based on the modified Wang and Mendel fuzzy neural production MIMO-network	660 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1088/1757-899X/516/1/012037

Title: Adaptive neuro-fuzzy classifier for evaluating the technology effectiveness based on the modified Wang and Mendel fuzzy neural production MIMO-network
Creator: Syryamkin, Vladimir I.
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Gorbachev, Sergey V.
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Shikhman, M. V.
Date: 2019
DOI: 10.1088/1757-899X/516/1/012037
Description: The paper describes practical results gained during synthesis of the classification model for estimating technology effectiveness when solving multi-criteria problems of expert data analysis (Foresight) aimed to identify technological breakthroughs and strategic perspectives of scientific, technological and innovative development

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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. 012037 (1-9)
Language: eng

Created: 13-01-2020

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Факультет инновационных технологий Adaptive neuro-fuzzy classifier for evaluating the technology effectiveness based on the modified Wang and Mendel fuzzy neural production MIMO-network