Inspecting the bioenergy potential of noxious Vachellia nilotica weed via pyrolysis: Thermo-kinetic study, neural network modeling and response surface optimization

Extraction of Epigallocatechin-3-gallate from green tea via supercritical fluid technology: Neural network modeling and response surface optimization

The Journal of Supercritical Fluids ◽

10.1016/j.supflu.2012.12.009 ◽

2013 ◽

Vol 74 ◽

pp. 128-136 ◽

Cited By ~ 52

Author(s):

S.M. Ghoreishi ◽

E. Heidari

Keyword(s):

Neural Network ◽

Response Surface ◽

Supercritical Fluid ◽

Green Tea ◽

Network Modeling ◽

Neural Network Modeling ◽

Supercritical Fluid Technology ◽

Response surface optimization and artificial neural network modeling of microwave assisted natural dye extraction from pomegranate rind

Industrial Crops and Products ◽

10.1016/j.indcrop.2011.12.032 ◽

2012 ◽

Vol 37 (1) ◽

pp. 408-414 ◽

Cited By ~ 82

Author(s):

Keka Sinha ◽

Papita Das Saha ◽

Siddhartha Datta

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Modeling ◽

Natural Dye ◽

Neural Network Modeling ◽

Microwave Assisted ◽

Dye Extraction

Enhanced adsorption performance of a novel Fe‐Mn‐Zr metal oxide nanocomposite adsorbent for anionic dyes from binary dye mix: Response surface optimization and neural network modeling

Applied Organometallic Chemistry ◽

10.1002/aoc.4165 ◽

2017 ◽

Vol 32 (3) ◽

pp. e4165 ◽

Cited By ~ 15

Author(s):

Nahakpam Hitler Singh ◽

Kethonulu Kezo ◽

Animesh Debnath ◽

Biswajit Saha

Keyword(s):

Neural Network ◽

Metal Oxide ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Anionic Dyes ◽

Adsorption Performance ◽

Enhanced Adsorption ◽

Nanocomposite Adsorbent

Quercetin extraction from Rosa damascena Mill via supercritical CO2: Neural network and adaptive neuro fuzzy interface system modeling and response surface optimization

The Journal of Supercritical Fluids ◽

10.1016/j.supflu.2016.02.006 ◽

2016 ◽

Vol 112 ◽

pp. 57-66 ◽

Cited By ~ 11

Author(s):

S.M. Ghoreishi ◽

Ali Hedayati ◽

S.O. Mousavi

Keyword(s):

Neural Network ◽

Response Surface ◽

Supercritical Co2 ◽

System Modeling ◽

Rosa Damascena ◽

Neuro Fuzzy ◽

Interface System ◽

Sonocatalytic Tannery Effluent Degradation –Response Surface Methodology and Particle Swarm Optimization Embedded Artificial Neural Network Modeling Approach

CLEAN - Soil Air Water ◽

10.1002/clen.202100095 ◽

2021 ◽

pp. 2100095

Author(s):

Natarajan Arun Prem Anand ◽

Ramasamy Palani

Keyword(s):

Neural Network ◽

Artificial Neural Network Modeling

Particle Swarm Optimization ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Tannery Effluent ◽

Swarm Optimization ◽

Reduction of edge effect using response surface methodology and artificial neural network modeling of a spur gear treated by induction with flux concentrators

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-019-03817-9 ◽

2019 ◽

Vol 104 (1-4) ◽

pp. 103-117

Author(s):

Mohamed Khalifa ◽

Noureddine Barka ◽

Jean Brousseau ◽

Philippe Bocher

Keyword(s):

Neural Network ◽

Response Surface ◽

Edge Effect ◽

Network Modeling ◽

Spur Gear ◽

Neural Network Modeling ◽

Artificial Neural

Biosorption of 4-chlorophenol by dried anaerobic digested sludge: artificial neural network modeling, equilibrium isotherm, and kinetic study

International Journal of Environmental Science and Technology ◽

10.1007/s13762-016-1139-4 ◽

2016 ◽

Vol 14 (1) ◽

pp. 37-48 ◽

Cited By ~ 4

Author(s):

V. R. Fanaie ◽

M. Karrabi ◽

M. M. Amin ◽

B. Shahnavaz ◽

A. Fatehizadeh

Keyword(s):

Neural Network ◽

Kinetic Study ◽

Network Modeling ◽

Neural Network Modeling ◽

Equilibrium Isotherm ◽

Digested Sludge ◽

Artificial Neural

Advances in Intelligent and Soft Computing - Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 ◽

Artificial Neural Network Modeling of Cutting Force in Turning of Ti-6Al-4V Alloy and Its Comparison with Response Surface Methodology

10.1007/978-81-322-0491-6_69 ◽

2012 ◽

pp. 761-768 ◽

Cited By ~ 1

Author(s):

Vikas Upadhyay ◽

P. K. Jain ◽

N. K. Mehta

Keyword(s):

Neural Network ◽

Cutting Force ◽

Response Surface ◽

Network Modeling ◽

Neural Network Modeling ◽

Artificial Neural

Comparison of response surface methodology and feedforward neural network modeling for polycaprolactone synthesis using enzymatic polymerization

Biocatalysis and Agricultural Biotechnology ◽

10.1016/j.bcab.2019.101046 ◽

2019 ◽

Vol 18 ◽

pp. 101046 ◽

Cited By ~ 3

Author(s):

Harshini Pakalapati ◽

Senthil Kumar Arumugasamy ◽

Mohammad Khalid

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Modeling ◽

Feedforward Neural Network ◽

Enzymatic Polymerization ◽

Neural Network Modeling

Response surface optimization, kinetic study and process design of n-butyl levulinate synthesis

Chemical Engineering Research and Design ◽

10.1016/j.cherd.2018.07.036 ◽

2018 ◽

Vol 137 ◽

pp. 577-588 ◽

Cited By ~ 6

Author(s):

Manali B. Kokare ◽

Ranjani V ◽

C.S. Mathpati

Keyword(s):

Kinetic Study ◽

Response Surface ◽

Process Design ◽