Microwave vacuum drying of dragon fruit slice: Artificial neural network modelling, genetic algorithm optimization, and kinetics study

Vacuum Drying ◽

Kinetics Study ◽

Algorithm Optimization ◽

Network Modelling ◽

Microwave Vacuum Drying ◽

Dragon Fruit ◽

Minimum fluidization velocities of binary Solid mixture – Empirical correlation and Genetic Algorithm‐Artificial Neural Network Modelling

Chemical Engineering & Technology ◽

10.1002/ceat.202100170 ◽

2021 ◽

Author(s):

Sudipta Let ◽

Nirjhar Bar ◽

Ranjan Kumar Basu ◽

Sudip Kumar Das

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Empirical Correlation ◽

Network Modelling ◽

Solid Mixture ◽

Minimum Fluidization ◽

Artificial Neural ◽

Abrasive jet machining of glass: Experimental investigation with artificial neural network modelling and genetic algorithm optimisation

Cogent Engineering ◽

10.1080/23311916.2016.1276513 ◽

2016 ◽

Vol 3 (1) ◽

Cited By ~ 9

Author(s):

El Shimaa Abdelnasser ◽

Ahmed Elkaseer ◽

Ahmed Nassef

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Experimental Investigation ◽

Network Modelling ◽

Abrasive Jet Machining ◽

Artificial Neural ◽

Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: Artificial neural network modeling and genetic algorithm optimization

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2015.01.086 ◽

2015 ◽

Vol 142 ◽

pp. 135-149 ◽

Cited By ~ 66

Author(s):

M. Ghaedi ◽

E. Shojaeipour ◽

A.M. Ghaedi ◽

Reza Sahraei

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network Modeling

Activated Carbon ◽

Network Modeling ◽

Neural Network Modeling ◽

Kinetics Study ◽

Copper Nanowires ◽

Algorithm Optimization ◽

Artificial neural network modelling for biodecolorization of Basic Violet 03 from aqueous solution by biochar derived from agro-bio waste of groundnut hull: Kinetics and thermodynamics

Chemosphere ◽

10.1016/j.chemosphere.2021.130191 ◽

2021 ◽

Vol 276 ◽

pp. 130191

Author(s):

Saravanan Praveen ◽

Josephraj Jegan ◽

Thillainayagam Bhagavathi Pushpa ◽

Ravindiran Gokulan

Keyword(s):

Neural Network ◽

Aqueous Solution ◽

Network Modelling ◽

Kinetics And Thermodynamics ◽

Artificial Neural ◽

Support Vector Machine and Artificial Neural Network Modelling of Orogenic Gold Prospectivity Mapping in the Swayze greenstone belt, Ontario, Canada

Ore Geology Reviews ◽

10.1016/j.oregeorev.2020.103968 ◽

2020 ◽

pp. 103968

Author(s):

Francisca Maepa ◽

Richard S. Smith ◽

Abera Tessema

Keyword(s):

Neural Network ◽

Support Vector Machine ◽

Greenstone Belt ◽

Orogenic Gold ◽

Support Vector ◽

Network Modelling ◽

Artificial Neural Network Modelling ◽

Prospectivity Mapping

Notice of Retraction: Genetic Algorithm Optimization for the Total Radiated Power of a Meandered Line by Using an Artificial Neural Network

IEEE Transactions on Electromagnetic Compatibility ◽

10.1109/temc.2017.2764623 ◽

2018 ◽

Vol 60 (4) ◽

pp. 1014-1017 ◽

Cited By ~ 8

Author(s):

Stefano Piersanti ◽

Antonio Orlandi

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Algorithm Optimization ◽

Genetic Algorithm Optimization ◽

Radiated Power ◽

Artificial Neural

Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach

Artificial Intelligence in Medicine ◽

10.1016/j.artmed.2008.03.001 ◽

2008 ◽

Vol 43 (2) ◽

pp. 99-111 ◽

Cited By ~ 36

Author(s):

Lee J. Lancashire ◽

Robert C. Rees ◽

Graham R. Ball

Keyword(s):

Neural Network ◽

Estrogen Receptor ◽

Lymph Node ◽

Lymph Node Status ◽

Gene Transcript ◽

Forward Selection ◽

Network Modelling ◽

Artificial Neural Network Modelling ◽

Modelling Approach

Artificial Neural Network Modelling for Short Term Load Forecasting

10.1109/ict-pep53949.2021.9601105 ◽

2021 ◽

Author(s):

Mahshooq Abdul Majeed ◽

Soumya Mudgal ◽

Lalit Tak ◽

Janavi Popat ◽

Harsh Kakadiya ◽

...

Keyword(s):

Neural Network ◽

Load Forecasting ◽

Short Term ◽

Network Modelling ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

Artificial neural network modelling of Cr(VI) surface adsorption with NiO nanoparticles using the results obtained from optimization of response surface methodology

Neural Computing and Applications ◽

10.1007/s00521-017-3172-8 ◽

2017 ◽

Vol 29 (10) ◽

pp. 969-979 ◽

Cited By ~ 3

Author(s):

Saber Khodaei Ashan ◽

Nasim Ziaeifar ◽

Rana Khalilnezhad

Keyword(s):

Neural Network ◽

Response Surface Methodology ◽

Response Surface ◽

Surface Adsorption ◽

Nio Nanoparticles ◽

Network Modelling ◽

Artificial Neural ◽

Estimations of Stress Concentration Factors (Cw/Kts) For Helical Circular/Square Cross Sectional Tension-Compression Springs And Artificial Neural Network Modelling

Journal of Polytechnic ◽

10.2339/politeknik.718550 ◽

2020 ◽

Author(s):

M. Tolga ÖZKAN ◽

İhsan TOKTAŞ ◽

Kaan DOĞANAY

Keyword(s):

Neural Network ◽

Stress Concentration ◽

Network Modelling ◽

Cross Sectional ◽

Concentration Factors ◽

Compression Springs ◽

Stress Concentration Factors ◽