Prediction of the unconfined compressive strength of stabilised soil by Adaptive Neuro Fuzzy Inference System (ANFIS) and Non-Linear Regression (NLR)

Geomechanics and Geoengineering ◽

10.1080/17486025.2019.1699668 ◽

2019 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Mohsen Saadat ◽

Meysam Bayat

Keyword(s):

Compressive Strength ◽

Linear Regression ◽

Fuzzy Inference System ◽

Unconfined Compressive Strength ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Non Linear

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Adaptive Neuro-Fuzzy Inference System with Non-Linear Regression Model for Online Learning Framework

International Journal of Scientific and Engineering Research ◽

10.14299/ijser.2020.08.01 ◽

2020 ◽

Vol 11 (8) ◽

Author(s):

Abdul Joseph Fofanah ◽

Ibrahim Kalokoh ◽

Korjo Tesyon Hwase ◽

Alex Peter Namagonya

Keyword(s):

Online Learning ◽

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Learning Framework ◽

Neuro Fuzzy ◽

Non Linear

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Application of Multiple Linear Regression Models and Adaptive Neuro-Fuzzy Inference System Models to estimate the Compressive Strength of Concrete

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1126/1/012062 ◽

2021 ◽

Vol 1126 (1) ◽

pp. 012062

Author(s):

Mohammed Hussain ◽

Y Kamala Raju ◽

Prasad V Kamakshi

Keyword(s):

Compressive Strength ◽

Linear Regression ◽

Fuzzy Inference System ◽

Regression Models ◽

Fuzzy Inference ◽

Linear Regression Models ◽

Inference System ◽

Neuro Fuzzy ◽

Compressive Strength Of Concrete ◽

Multiple Linear Regression Models

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Estimating the compressive strength of concrete using multiple linear regression and adaptive neuro-fuzzy inference system

International Journal of Structural Engineering ◽

10.1504/ijstructe.2017.081669 ◽

2017 ◽

Vol 8 (1) ◽

pp. 20 ◽

Cited By ~ 16

Author(s):

Faezehossadat Khademi ◽

Sayed Mohammadmehdi Jamal

Keyword(s):

Compressive Strength ◽

Linear Regression ◽

Multiple Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Compressive Strength Of Concrete

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An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-014-0687-4 ◽

2014 ◽

Vol 74 (4) ◽

pp. 1301-1319 ◽

Cited By ~ 60

Author(s):

Danial Jahed Armaghani ◽

Edy Tonnizam Mohamad ◽

Ehsan Momeni ◽

Mogana Sundaram Narayanasamy ◽

Mohd For Mohd Amin

Keyword(s):

Compressive Strength ◽

Young’S Modulus ◽

Fuzzy Inference System ◽

Unconfined Compressive Strength ◽

Fuzzy Inference ◽

Young's Modulus ◽

Inference System ◽

Neuro Fuzzy

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COMPARISON OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM, ARTIFICIAL NEURAL NETWORKS AND NON-LINEAR REGRESSION FOR BARK VOLUME ESTIMATION IN BRUTIAN PINE (PINUS BRUTIA TEN.)

Applied Ecology and Environmental Research ◽

10.15666/aeer/1602_20152027 ◽

2018 ◽

Vol 16 (2) ◽

pp. 2015-2027 ◽

Cited By ~ 7

Author(s):

Y. ÇATAL

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Volume Estimation ◽

Inference System ◽

Pinus Brutia ◽

Neuro Fuzzy ◽

Non Linear

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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 ◽

Cited By ~ 39

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 ◽

Neuro Fuzzy

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Using adaptive neuro‐fuzzy inference system and multiple linear regression to estimate orange taste

Food Science & Nutrition ◽

10.1002/fsn3.1149 ◽

2019 ◽

Vol 7 (10) ◽

pp. 3176-3184 ◽

Cited By ~ 1

Author(s):

Marzieh Mokarram ◽

Hosein Amin ◽

Mohammad R. Khosravi

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy

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Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel

Environmental Monitoring and Assessment ◽

10.1007/s10661-020-08268-4 ◽

2020 ◽

Vol 192 (7) ◽

Cited By ~ 3

Author(s):

Yong Jie Wong ◽

Senthil Kumar Arumugasamy ◽

Chang Han Chung ◽

Anurita Selvarajoo ◽

Vasanthi Sethu

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Artificial Neural Network ◽

Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Nephelium Lappaceum ◽

Artificial Neural Network Ann

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Predicting strength of recycled aggregate concrete using Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and Multiple Linear Regression

International Journal of Sustainable Built Environment ◽

10.1016/j.ijsbe.2016.09.003 ◽

2016 ◽

Vol 5 (2) ◽

pp. 355-369 ◽

Cited By ~ 66

Author(s):

Faezehossadat Khademi ◽

Sayed Mohammadmehdi Jamal ◽

Neela Deshpande ◽

Shreenivas Londhe

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Recycled Aggregate Concrete ◽

Recycled Aggregate ◽

Inference System ◽

Aggregate Concrete ◽

Neuro Fuzzy

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