Genetic algorithm-artificial neural network and adaptive neuro-fuzzy inference system modeling of antibacterial activity of annatto dye on Salmonella enteritidis

Antibacterial Activity ◽

Fuzzy Inference System ◽

Salmonella Enteritidis ◽

Fuzzy Inference ◽

System Modeling ◽

Inference System ◽

Neuro Fuzzy

Modeling of rheological behavior of honey using genetic algorithm–artificial neural network and adaptive neuro-fuzzy inference system

Food Bioscience ◽

10.1016/j.fbio.2014.12.001 ◽

2015 ◽

Vol 9 ◽

pp. 60-67 ◽

Cited By ~ 21

Author(s):

Marziyeh Ramzi ◽

Mahdi Kashaninejad ◽

Fakhreddin Salehi ◽

Ali Reza Sadeghi Mahoonak ◽

Seyed Mohammad Ali Razavi

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Rheological Behavior ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Flood hydrograph modeling using artificial neural network and adaptive neuro-fuzzy inference system based on rainfall components

Arabian Journal of Geosciences ◽

10.1007/s12517-021-06683-6 ◽

2021 ◽

Vol 14 (5) ◽

Author(s):

Saeid Janizadeh ◽

Mehdi Vafakhah

Keyword(s):

Neural Network ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Flood Hydrograph ◽

Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS): application for a photovoltaic system under unstable environmental conditions

International Journal of Energy and Environmental Engineering ◽

10.1007/s40095-022-00472-x ◽

2022 ◽

Author(s):

Pascal Kuate Nkounhawa ◽

Dieunedort Ndapeu ◽

Bienvenu Kenmeugne

Keyword(s):

Neural Network ◽

Environmental Conditions ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Photovoltaic System ◽

Inference System ◽

Neuro Fuzzy ◽

Artificial Neural ◽

Artificial Neural Network Ann

Application of artificial neural network and adaptive neuro-fuzzy inference system in streamflow forecasting

Advances in Streamflow Forecasting ◽

10.1016/b978-0-12-820673-7.00002-0 ◽

2021 ◽

pp. 171-191

Author(s):

Mehdi Vafakhah ◽

Saeid Janizadeh

Keyword(s):

Neural Network ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Streamflow Forecasting ◽

Inference System ◽

Neuro Fuzzy ◽

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 ◽

Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Nephelium Lappaceum ◽

Artificial Neural Network Ann

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 ◽

Linear Regression ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Recycled Aggregate Concrete ◽

Recycled Aggregate ◽

Inference System ◽

Aggregate Concrete ◽

Neuro Fuzzy

River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques

Procedia Computer Science ◽

10.1016/j.procs.2017.11.212 ◽

2017 ◽

Vol 120 ◽

pp. 75-82 ◽

Cited By ~ 17

Author(s):

S.I. Abba ◽

Sinan Jasim Hadi ◽

Jazuli Abdullahi

Keyword(s):

Neural Network ◽

Linear Regression ◽

River Water ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Multi Linear Regression ◽

Comparative study of artificial intelligence-based building thermal control methods – Application of fuzzy, adaptive neuro-fuzzy inference system, and artificial neural network

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2011.04.006 ◽

2011 ◽

Vol 31 (14-15) ◽

pp. 2422-2429 ◽

Cited By ~ 54

Author(s):

Jin Woo Moon ◽

Sung Kwon Jung ◽

Youngchul Kim ◽

Seung-Hoon Han

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Thermal Control ◽

Control Methods ◽

Inference System ◽

Neuro Fuzzy ◽

Fuzzy Adaptive

Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence - CSAI 2017 ◽

Comparisons of Tidal Prediction Analysis by Using Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN)

10.1145/3168390.3168393 ◽

2017 ◽

Author(s):

Andy Hendri ◽

Imam Suprayogi ◽

Muhamad Zulfakar ◽

Andarsin Ongko

Keyword(s):

Neural Network ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Prediction Analysis ◽

Neuro Fuzzy ◽

Artificial Neural ◽

Artificial Neural Network Ann

Application of Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for the Modelling and Simulation of QCA Circuits

IETE Journal of Research ◽

10.1080/03772063.2017.1332960 ◽

2017 ◽

Vol 63 (6) ◽

pp. 784-794 ◽

Cited By ~ 1

Author(s):

M. Hayati ◽

A. Rezaei ◽

S. Zarghami ◽

L. Noori

Keyword(s):

Neural Network ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Modelling And Simulation ◽

Inference System ◽

Neuro Fuzzy ◽

Artificial Neural ◽

Qca Circuits