Comparison of neuro-fuzzy systems for classification of transcranial Doppler signals with their chaotic invariant measures

2008 ◽  
Vol 34 (2) ◽  
pp. 1044-1055 ◽  
Author(s):  
A OZTURK ◽  
A ARSLAN ◽  
F HARDALAC
Keyword(s):  
Transcranial Doppler ◽  
Fuzzy Systems ◽  
Invariant Measures ◽  
Neuro Fuzzy ◽  
Doppler Signals

scholarly journals Development of an Industrial Application with Neuro-Fuzzy Systems

2021 ◽  
Vol 8 ◽  
pp. 26-31
Author(s):  
Benaicha Sonia ◽  
Zermane Hannane ◽  
Mouss Hayet ◽  
Bencherif Fateh
Keyword(s):  
Neural Networks ◽  
Fuzzy Systems ◽  
Operating Time ◽  
Simulation Software ◽  
Interactive Simulation ◽  
Preventive Action ◽  
Cooking Process ◽  
Neuro Fuzzy ◽  
Cement Manufacturing

In this paper, our objective is dedicated to the detection of a deterioration in the estimated operating time by giving preventive action before a failure, and the classification of breakdowns after failure by giving the action of the diagnosis and / or maintenance. For this reason, we propose a new Neuro-fuzzy assistance prognosis system based on pattern recognition called "NFPROG" (Neuro Fuzzy Prognosis). NFPROG is an interactive simulation software, developed within the Laboratory of Automation and Production (LAP) -University of Batna, Algeria. It is a four-layer fuzzy preceptor whose architecture is based on Elman neural networks. This system is applied to the cement manufacturing process (cooking process) to the cement manufacturing company of Ain-Touta-Batna, Algeria. And since this company has an installation and configuration S7-400 of Siemens PLC PCS7was chosen as a programming language platform for our system.

Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks

2017 ◽  
Vol 249 ◽  
pp. 337-344 ◽  
Author(s):  
Manjeevan Seera ◽  
Chee Peng Lim ◽  
Kay Sin Tan ◽  
Wei Shiung Liew
Keyword(s):  
Neural Networks ◽  
Transcranial Doppler ◽  
Recurrent Neural Networks ◽  
Doppler Signals
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