Numerical study on the feasibility of dynamic evolving neural-fuzzy inference system for approximation of compressive strength of dry-cast concrete

Applied Soft Computing ◽

10.1016/j.asoc.2014.08.010 ◽

2014 ◽

Vol 24 ◽

pp. 572-584 ◽

Author(s):

Jafar Sobhani ◽

Meysam Najimi

Keyword(s):

Compressive Strength ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Numerical Study ◽

Inference System ◽

Cast Concrete ◽

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Prediction of Output Energy based on Different Energy Inputs on Broiler Production using Application of Adaptive Neural-Fuzzy Inference System

Agriculture Science Developments ◽

10.21828/asd-05-02-002 ◽

2016 ◽

Vol 5 (2) ◽

pp. 14-21 ◽

Author(s):

Sama Amid ◽

Tarahom Mesri Gundoshmian

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Output Energy ◽

Inference System ◽

Broiler Production ◽

Energy Inputs ◽

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Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired algorithms

Frontiers of Structural and Civil Engineering ◽

10.1007/s11709-020-0684-6 ◽

2021 ◽

Author(s):

Ahmad Sharafati ◽

H. Naderpour ◽

Sinan Q. Salih ◽

E. Onyari ◽

Zaher Mundher Yaseen

Keyword(s):

Compressive Strength ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Strength Prediction ◽

Concrete Compressive Strength ◽

Inference System ◽

Neuro Fuzzy ◽

Foamed Concrete ◽

Nature Inspired Algorithms

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An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents

Expert Systems with Applications ◽

10.1016/j.eswa.2012.05.048 ◽

2013 ◽

Vol 40 (3) ◽

pp. 921-928 ◽

Author(s):

N. Yesiloglu-Gultekin ◽

E.A. Sezer ◽

C. Gokceoglu ◽

H. Bayhan

Keyword(s):

Compressive Strength ◽

Uniaxial Compressive Strength ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Granitic Rocks ◽

Mineral Contents ◽

Inference System ◽

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Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system

Engineering Geology ◽

10.1016/j.enggeo.2013.04.004 ◽

2013 ◽

Vol 160 ◽

pp. 54-68 ◽

Author(s):

D.A. Mishra ◽

A. Basu

Keyword(s):

Compressive Strength ◽

Regression Analysis ◽

Uniaxial Compressive Strength ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Rock Materials ◽

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Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity

2016 27th International Workshop on Database and Expert Systems Applications (DEXA) ◽

10.1109/dexa.2016.044 ◽

2016 ◽

Author(s):

Francisco Silva ◽

Brigida Teixeira ◽

Nuno Teixeira ◽

Tiago Pinto ◽

Isabel Praca ◽

...

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Solar Intensity ◽

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Novel metaheuristic-based type-2 fuzzy inference system for predicting the compressive strength of recycled aggregate concrete

Journal of Cleaner Production ◽

10.1016/j.jclepro.2021.128771 ◽

2021 ◽

Vol 320 ◽

pp. 128771 ◽

Author(s):

Emadaldin Mohammadi Golafshani ◽

Ali Behnood ◽

Seyedeh Somayeh Hosseinikebria ◽

Mehrdad Arashpour

Keyword(s):

Compressive Strength ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Recycled Aggregate Concrete ◽

Recycled Aggregate ◽

Inference System ◽

Aggregate Concrete

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Application of interval type-2 subsethood neural fuzzy inference system in control and function approximation

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2017.8015573 ◽

2017 ◽

Author(s):

Vuppuluri Sumati ◽

C. Patvardhan ◽

Sandeep Paul ◽

Lotika Singh ◽

V. Mehar Swarup

Keyword(s):

Fuzzy Inference System ◽

Function Approximation ◽

Fuzzy Inference ◽

Inference System ◽

Interval Type ◽

And Function ◽

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A novel hybrid intelligent system: Genetic algorithm and rough set incorporated neural fuzzy inference system

2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) ◽

10.1109/cec.2008.4631140 ◽

2008 ◽

Author(s):

D. Wang ◽

G. S. Ng ◽

C. Quek

Keyword(s):

Genetic Algorithm ◽

Rough Set ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Intelligent System ◽

Inference System ◽

Hybrid Intelligent System ◽

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Adaptive Neural Fuzzy Inference System Disturbance Observer-Based Control for Reaching Movement of Musculoskeletal Arm Model

IEEE Access ◽

10.1109/access.2018.2880464 ◽

2018 ◽

Vol 6 ◽

pp. 73030-73040 ◽

Author(s):

Ting Wang ◽

Aiguo Song

Keyword(s):

Fuzzy Inference System ◽

Disturbance Observer ◽

Fuzzy Inference ◽

Inference System ◽

Reaching Movement ◽

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A NEURAL FUZZY INFERENCE BASED ADAPTIVE CONTROLLER FOR NONHOLONOMIC ROBOTS

International Journal of Computing ◽

10.47839/ijc.10.1.737 ◽

2011 ◽

pp. 56-65

Author(s):

Ting Wang ◽

Fabien Gautero ◽

Christophe Sabourin ◽

Kurosh Madani

Keyword(s):

Control Strategy ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Adaptive Controller ◽

Reference Trajectory ◽

Inference System ◽

Nonholonomic Robots ◽

Neuro Controller ◽

In this paper, we propose a control strategy for a nonholonomic robot which is based on an Adaptive Neural Fuzzy Inference System. The neuro-controller makes it possible the robot track a desired reference trajectory. After a short reminder about Adaptive Neural Fuzzy Inference System, we describe the control strategy which is used on our virtual nonholonomic robot. And finally, we give the simulations’ results where the robot have to pass into a narrow path as well as the first validation results concerning the implementation of the proposed concepts on real robot.

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