scholarly journals A neuro-fuzzy system to support in the diagnostic of epileptic events and non-epileptic events using different fuzzy arithmetical operations

2008 ◽  
Vol 66 (2a) ◽  
pp. 179-183 ◽  
Author(s):  
Lucimar M.F. de Carvalho ◽  
Silvia Modesto Nassar ◽  
Fernando Mendes de Azevedo ◽  
Hugo José Teixeira de Carvalho ◽  
Lucas Lese Monteiro ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fuzzy System ◽  
Learning Algorithm ◽  
Test Phase ◽  
Qualitative Approach ◽  
Fuzzy Classification ◽  
Neuro Fuzzy ◽  
The Feminine ◽  
Artificial Neural

OBJECTIVE: To investigate different fuzzy arithmetical operations to support in the diagnostic of epileptic events and non epileptic events. METHOD: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication) architecture and an artificial neural network with backpropagation learning algorithm (ANNB). RESULTS: The study was composed by 244 patients with a bigger frequency of the feminine sex. The number of right decisions at the test phase, obtained by the NEFCLASS and ANNB was 83.60% and 90.16%, respectively. The best sensibility result was attained by NEFCLASS (84.90%); the best specificity result were attained by ANNB with 95.65%. CONCLUSION: The proposed neuro-fuzzy system combined the artificial neural network capabilities in the pattern classifications together with the fuzzy logic qualitative approach, leading to a bigger rate of system success.

Comparison of different modeling methods toward predictive capability evaluation of the bonding strength of wood laminated products

2021 ◽  
pp. 095440892110530
Author(s):  
Morteza Nazerian ◽  
Seyed Ali Razavi ◽  
Ali Partovinia ◽  
Elham Vatankhah ◽  
Zahra Razmpour
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Bonding Strength ◽  
Fuzzy Inference ◽  
Molar Ratio ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Artificial Neural

The main aim of this study is usability evaluation of different approaches, including response surface methodoloy, adaptive neuro-fuzzy inference system, and artificial neural network models to predict and evaluate the bonding strength of glued laminated timber (glulam) manufactured using walnut wood layers and a natural adhesive (oxidized starch adhesive), with respect to this fact that using the modified starch can decrease the formaldehyde emission. In this survey, four variables taken as the input data include the molar ratio of formaldehyde to urea (1.12–1.52), nanocellulose content (0%–4%, based on the dry weight of the adhesive), the mass ratio of the oxidized starch adhesive to the urea formaldehyde resin (30:70–70:30), and the press time (4–8 min). In order to find the best predictive performance of each selected evaluation approach, different membership functions were used. The optimal results were obtained when the molar ratio, nanocellulose content, mass ratio of the oxidised starch, and press time were set at 1.22, 3%, 70:30, and 7 min, respectively. Based on the performance criteria including root mean square error (RMSE) and mean absolute percentage error (MAPE) obtained from the modeling of response surface methodology, adaptive neuro-fuzzy inference network, and artificial neural network, it became evident that response surface methodology could offer a better prediction of the response with the lowest level of errors. Beside, artificial neural network and adaptive neuro-fuzzy inference system support the response surface methodology approach to evaluate bonding strength response with high precision as well as to determine the optimal point in fabrication of laminated products.

Active control of surge in centrifugal compressors using a brain emotional learning-based intelligent controller

2015 ◽  
Vol 230 (16) ◽  
pp. 2828-2839 ◽  
Author(s):  
Ali Jokar ◽  
Roozbeh Zomorodian ◽  
Mohammad Bagher Ghofrani ◽  
Pooya Khodaparast
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
High Fidelity Simulation ◽  
Variable Speed ◽  
Load Line ◽  
Neuro Fuzzy ◽  
Performance Map ◽  
Compressor Performance ◽  
Artificial Neural ◽  
Brain Emotional Learning

Efforts have been targeted at providing a comprehensive simulation of a centrifugal compressor undergoing surge. In the simulation process, an artificial neural network was utilized to produce an all-inclusive performance map encompassing those speeds not available in the provided curves. Two positive scenarios for the shaft speed, constant, and variable, were undertaken, and effects of load line on the dynamic response of the compressor have been studied. In order to achieve high-fidelity simulation in the variable speed case, an artificial neural network was utilized to produce an all-inclusive performance map encompassing those speeds not available in the provided curves. Moreover, effects of dynamic characteristics of throttle valve were also investigated. A novel controlling scheme, based on neuro-fuzzy control philosophy, was implemented to stabilize the compressor performance in the unstable region. Results indicate that if applied, this scheme could produce practical and satisfactory outcomes, possessing certain virtues compared to available techniques.

scholarly journals Neuro-Fuzzy Control of a Robotic Manipulator

2014 ◽  
Vol 19 (3) ◽  
pp. 575-584 ◽  
Author(s):  
P. Gierlak ◽  
M. Muszyńska ◽  
W. Żylski
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Control System ◽  
Intelligent Control ◽  
Fuzzy System ◽  
Operating Conditions ◽  
Intelligent Control System ◽  
Hybrid Controller ◽  
Compensatory Control ◽  
Neuro Fuzzy

Abstract In this paper, to solve the problem of control of a robotic manipulator’s movement with holonomical constraints, an intelligent control system was used. This system is understood as a hybrid controller, being a combination of fuzzy logic and an artificial neural network. The purpose of the neuro-fuzzy system is the approximation of the nonlinearity of the robotic manipulator’s dynamic to generate a compensatory control. The control system is designed in such a way as to permit modification of its properties under different operating conditions of the two-link manipulator

Sign in / Sign up

Export Citation Format

Share Document