Modeling the behaviors of magnetorheological elastomer isolator in shear-compression mixed mode utilizing artificial neural network optimized by fuzzy algorithm (ANNOFA)

2018 ◽  
Vol 27 (11) ◽  
pp. 115026 ◽  
Author(s):  
Dingxin Leng ◽  
Kai Xu ◽  
Yong Ma ◽  
Guijie Liu ◽  
Lingyu Sun
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mixed Mode ◽  
Magnetorheological Elastomer ◽  
Fuzzy Algorithm ◽  
Artificial Neural

scholarly journals An Intelligent Artificial Neural Network Modeling of a Magnetorheological Elastomer Isolator

Algorithms ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 195
Author(s):  
Shiping Zhao ◽  
Yong Ma ◽  
Dingxin Leng
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Vibration Control ◽  
Back Propagation ◽  
Structural Vibration ◽  
Neural Network Modeling ◽  
Back Propagation Algorithm ◽  
Magnetorheological Elastomer ◽  
Power Cost ◽  
Artificial Neural

Recently, magnetorheological elastomer (MRE) has been paid increasingly attention for vibration mitigation devices with the benefits of low power cost, fail safe performances, and fast responses. To make full use of the striking advantages of MRE device, a highly precise model should be developed to predict its dynamic performances. In the work, an MRE isolator in shear–squeeze mixed mode is developed and tested under dynamic loadings. The nonlinear performances in various displacement amplitude and currents are shown. An artificial neural network model with a back-propagation algorithm is proposed to characterize the nonlinear hysteresis of MRE isolator for its implementation in vibration control applications. This model utilized the displacement, velocity, and applied current as inputs and output force as output. The results show that the proposed model has high modeling accuracy and can well portray the complicated behaviors of MRE isolator with different excitations, which shows a fundamental basis for structural vibration control.

scholarly journals Fault Diagnosis in Mixed-Mode Circuit By using Artificial Neural Network Method

2019 ◽  
Vol 8 (6S2) ◽  
pp. 415-418
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Mixed Mode ◽  
Neural System ◽  
Sigma Delta Modulator ◽  
Sigma Delta ◽  
Network Method ◽  
Artificial Neural Network Method ◽  
Artificial Neural ◽  
The Look

In these work it is said that artificial systems are connected to finding of calamitous imperfections in the advanced piece of a nonlinear blended mode circuit. The methodology is exhibited on the case of a moderately mind boggling sigma-delta modulator. A lot of shortcomings are chosen first. At that point, issue lexicon is made, by reproduction, utilizing the reaction of the loop path to an info incline flag. This spoken to type of a carry-into table. Counterfeit neural system is then prepared for displaying (retaining) the look-into table. The conclusion is carried out so the artificial neural network is energized by broken reactions so as to introduce the deficiency codes at its yield. There were no blunders in recognizing the shortcomings amid conclusion.

scholarly journals Modeling of magnetorheological elastomer rheological properties using artificial neural network

2021 ◽  
Vol 1051 (1) ◽  
pp. 012094
Author(s):  
K D Saharuddin ◽  
M H Mohammed Ariff ◽  
I Bahiuddin ◽  
S A Mazlan ◽  
S A Abdul Aziz ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Rheological Properties ◽  
Magnetorheological Elastomer ◽  
Artificial Neural

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural

1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

2004 ◽  
Vol 171 (4S) ◽  
pp. 502-503
Author(s):  
Mohamed A. Gomha ◽  
Khaled Z. Sheir ◽  
Saeed Showky ◽  
Khaled Madbouly ◽  
Emad Elsobky ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Network Analysis ◽  
Renal Stones ◽  
Neural Network Analysis ◽  
Artificial Neural Network Analysis ◽  
Artificial Neural
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