Uneven Division of Input Spaces for Hierarchical Fuzzy Modeling

1999 ◽  
pp. 276-285
Author(s):  
Kanta Tachibana ◽  
Takeshi Furuhashi
Keyword(s):  
Fuzzy Modeling

Accurate-interpretable based fuzzy modeling of a DC motor

2007 ◽  
Author(s):  
G.I. Sainz Palmero ◽  
L. A. Campillo Quijano ◽  
M.J. Fuente
Keyword(s):  
Fuzzy Modeling ◽  
Dc Motor

Data Mining and Systems Theory Based Fuzzy Modeling and Compensation for Friction

2010 ◽  
Vol 36 (3) ◽  
pp. 412-420 ◽  
Author(s):  
Yong-Fu WANG ◽  
Dian-Hui WANG ◽  
Tian-You CHAI
Keyword(s):  
Data Mining ◽  
Systems Theory ◽  
Fuzzy Modeling

Fuzzy Modeling of Multi-Degree-of-Freedom Power Spectral Density Systems

2009 ◽  
Vol 2 (1) ◽  
pp. 40-47
Author(s):  
Montasser Tahat ◽  
Hussien Al-Wedyan ◽  
Kudret Demirli ◽  
Saad Mutasher
Keyword(s):  
Spectral Density ◽  
Power Spectral Density ◽  
Fuzzy Modeling ◽  
Degree Of Freedom ◽  
Power Spectral

scholarly journals PRODUCTIVE RESPONSES FROM BROILER CHICKENS RAISED IN DIFFERENT COMMERCIAL PRODUCTION SYSTEMS - PART I: FUZZY MODELING

2019 ◽  
Vol 39 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Dian Lourençoni ◽  
Tadayuki Yanagi Junior ◽  
Paulo G. de Abreu ◽  
Alessandro T. Campos ◽  
Silvia de N. M. Yanagi
Keyword(s):  
Broiler Chickens ◽  
Production Systems ◽  
Fuzzy Modeling ◽  
Commercial Production

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

Handling Errors in eHealth Sensors using Interval Mapping and Fuzzy Modeling

2021 ◽  
pp. 1-1
Author(s):  
Atrayee Gupta ◽  
Ankita Nag ◽  
Nandini Mukherjee
Keyword(s):  
Fuzzy Modeling ◽  
Interval Mapping

Fuzzy modeling and control of a class of non‐differentiable multi‐input multi‐output nonlinear systems

2021 ◽  
Author(s):  
Kazem Zare ◽  
Mokhtar Shasadeghi ◽  
Afshin Izadian ◽  
Taher Niknam ◽  
Mohammad Hassan Asemani
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Modeling ◽  
Modeling And Control ◽  
And Control

scholarly journals Fuzzy modeling and particle swarm optimization of Al2O3/SiO2 nanofluid

2021 ◽  
pp. 100084
Author(s):  
Tareq Salameh ◽  
Polamarasetty P Kumar ◽  
Enas Taha Sayed ◽  
Mohammad Ali Abdelkareem ◽  
Hegazy Rezk ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Fuzzy Modeling ◽  
Swarm Optimization

Output space transfer based multi-input multi-output Takagi–Sugeno fuzzy modeling for estimation of molten iron quality in blast furnace

2021 ◽  
Vol 219 ◽  
pp. 106906
Author(s):  
Junpeng Li ◽  
Changchun Hua ◽  
Yana Yang ◽  
Limin Zhang ◽  
Xinping Guan
Keyword(s):  
Blast Furnace ◽  
Fuzzy Modeling ◽  
Molten Iron ◽  
Takagi Sugeno ◽  
Output Space ◽  
Molten Iron Quality
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