scholarly journals Flexible Neo-fuzzy Neuron and Neuro-fuzzy Network for Monitoring Time Series Properties

Author(s):  
Yevgeniy Bodyanskiy ◽  
Iryna Pliss ◽  
Olena Vynokurova
2020 ◽  
Vol 36 (3) ◽  
pp. 1394-1413
Author(s):  
Selmo Eduardo Rodrigues Júnior ◽  
Ginalber Luiz Oliveira Serra

Author(s):  
CATHERINE VAIRAPPAN ◽  
SHANGCE GAO ◽  
ZHENG TANG ◽  
HIROKI TAMURA

A new version of neuro-fuzzy system of feedbacks with chaotic dynamics is proposed in this work. Unlike the conventional neuro-fuzzy, improved neuro-fuzzy system with feedbacks is better able to handle temporal data series. By introducing chaotic dynamics into the feedback neuro-fuzzy system, the system has richer and more flexible dynamics to search for near-optimal solutions. In the experimental results, performance and effectiveness of the presented approach are evaluated by using benchmark data series. Comparison with other existing methods shows the proposed method for the neuro-fuzzy feedback is able to predict the time series accurately.


2017 ◽  
Vol 31 (7) ◽  
pp. 2551-2562 ◽  
Author(s):  
Hossein Komijani ◽  
Mohammad Reza Parsaei ◽  
Ebrahim Khajeh ◽  
Mohammad Javad Golkar ◽  
Houman Zarrabi

2008 ◽  
Vol 4 (3) ◽  
pp. 181-192 ◽  
Author(s):  
Giovanni Sparacino ◽  
Andrea Facchinetti ◽  
Alberto Maran ◽  
Claudio Cobelli

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