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Adaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency V. I. Syryamkin, S. V. Gorbachev, M. V. Shikhman

By: Syryamkin, Vladimir IContributor(s): Gorbachev, Sergey V | Shikhman, M. VMaterial type: ArticleArticleSubject(s): MIMO, метод пространственного кодирования сигнала | адаптивные нейро-нечеткие сети | гибридные алгоритмыGenre/Form: статьи в журналах Online resources: Click here to access online In: IOP Conference Series: Materials Science and Engineering Vol. 516. P. 012010 (1-6)Abstract: 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.
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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.

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