Application of adaptive neuro-fuzzy inference system and response surface methodology in biodiesel synthesis from jatropha–algae oilwith and its performance and emission analysis on Diesel engine coupled with generator

Diesel Engine ◽

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Emission Analysis ◽

Inference System ◽

Performance And Emission ◽

Neuro Fuzzy ◽

Biodiesel Synthesis

Performance evaluation of adaptive neuro-fuzzy inference system and response surface methodology in modeling biodiesel synthesis from jatropha–algae oil

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2018.1515277 ◽

2018 ◽

Vol 40 (24) ◽

pp. 3000-3008 ◽

Cited By ~ 7

Author(s):

Sunil Kumar ◽

Siddharth Jain ◽

Harmesh Kumar

Keyword(s):

Performance Evaluation ◽

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Biodiesel Synthesis ◽

Algae Oil

Estimation of biogas yields produced from combination of waste by implementing response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)

International Journal of Energy and Environmental Engineering ◽

10.1007/s40095-021-00381-5 ◽

2021 ◽

Author(s):

M. O. Okwu ◽

O. D. Samuel ◽

D. R. E. Ewim ◽

Z. Huan

Keyword(s):

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Adaptive-neuro fuzzy inference system (ANFIS) based prediction of performance and emission parameters of a CRDI assisted diesel engine under CNG dual-fuel operation

Journal of Natural Gas Science and Engineering ◽

10.1016/j.jngse.2015.08.065 ◽

2015 ◽

Vol 27 ◽

pp. 274-283 ◽

Cited By ~ 12

Author(s):

Sumit Roy ◽

Ajoy Kumar Das ◽

Vivek Singh Bhadouria ◽

Santi Ranjan Mallik ◽

Rahul Banerjee ◽

...

Keyword(s):

Diesel Engine ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Dual Fuel ◽

Inference System ◽

Performance And Emission ◽

Assessment of adaptive neuro-fuzzy inference system and response surface methodology approaches in draft force prediction of subsoiling tines

Soil and Tillage Research ◽

10.1016/j.still.2019.104338 ◽

2019 ◽

Vol 194 ◽

pp. 104338 ◽

Cited By ~ 2

Author(s):

Mohammad Askari ◽

Yousef Abbaspour-Gilandeh

Keyword(s):

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Force Prediction ◽

Neuro Fuzzy ◽

Draft Force

Optimization of biodiesel production from Thevetia peruviana seed oil by adaptive neuro-fuzzy inference system coupled with genetic algorithm and response surface methodology

Energy Conversion and Management ◽

10.1016/j.enconman.2016.11.030 ◽

2017 ◽

Vol 132 ◽

pp. 231-240 ◽

Cited By ~ 29

Author(s):

Benjamin Ogaga Ighose ◽

Ibrahim A. Adeleke ◽

Mueuji Damos ◽

Hamidat Adeola Junaid ◽

Kelechi Ernest Okpalaeke ◽

...

Keyword(s):

Genetic Algorithm ◽

Response Surface ◽

Fuzzy Inference System ◽

Seed Oil ◽

Fuzzy Inference ◽

Biodiesel Production ◽

Inference System ◽

Thevetia Peruviana ◽

Simulation of mercury bioremediation from aqueous solutions using artificial neural network, adaptive neuro-fuzzy inference system, and response surface methodology

Desalination and Water Treatment ◽

10.1080/19443994.2014.926835 ◽

2014 ◽

Vol 55 (6) ◽

pp. 1467-1479 ◽

Cited By ~ 2

Author(s):

Seyed Ali Jafari ◽

Dariush Jafari

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Aqueous Solutions ◽

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Artificial Neural

Adaptive neuro-fuzzy inference system (ANFIS) and response surface methodology (RSM) prediction of biodiesel dynamic viscosity at 313 K

Procedia Computer Science ◽

10.1016/j.procs.2017.11.274 ◽

2017 ◽

Vol 120 ◽

pp. 521-528 ◽

Cited By ~ 6

Author(s):

Youssef Kassem ◽

Hüseyin Çamur ◽

Engin Esenel

Keyword(s):

Response Surface ◽

Dynamic Viscosity ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Modeling the effects of ultrasound power and reactor dimension on the biodiesel production yield: Comparison of prediction abilities between response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS)

Energy ◽

10.1016/j.energy.2016.09.028 ◽

2016 ◽

Vol 115 ◽

pp. 626-636 ◽

Cited By ~ 49

Author(s):

Mostafa Mostafaei ◽

Hossein Javadikia ◽

Leila Naderloo

Keyword(s):

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Biodiesel Production ◽

Production Yield ◽

Inference System ◽

Neuro Fuzzy ◽

Ultrasound Power

Parametric Study and Process Evaluation of Fenton Oxidation: Application of Sequential Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System Computing Technique

Chemical Engineering Communications ◽

10.1080/00986445.2016.1277517 ◽

2017 ◽

Vol 204 (6) ◽

pp. 658-676

Author(s):

Archina Buthiyappan ◽

Abdul Aziz Abdul Raman ◽

Meysam Davoody ◽

Wan Mohd Ashri Wan Daud

Keyword(s):

Response Surface ◽

Process Evaluation ◽

Fuzzy Inference System ◽

Parametric Study ◽

Fuzzy Inference ◽

Fenton Oxidation ◽

Inference System ◽

Computing Technique ◽

Production and optimization from Karanja oil by adaptive neuro-fuzzy inference system and response surface methodology with modified domestic microwave

Fuel ◽

10.1016/j.fuel.2021.120684 ◽

2021 ◽

Vol 296 ◽

pp. 120684

Author(s):

Sunil Kumar

Keyword(s):

Response Surface ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

Karanja Oil