Application of artificial neural network and response surface methodology for modelling of hydrogen production using nickel loaded zeolite

QR Code

Application of artificial neural network and response surface methodology for modelling of hydrogen production using nickel loaded zeolite

Bibliographic Details
Format:	Restricted Document

Similar Items

Application of artificial neural network and response surface methodology for modelling of hydrogen production using nickel loaded zeolite
by: Azaman, Fazureen, et al.
Published: (2015)

Hydrogen gas production from glycerol via steam reforming using nickel loaded zeolite catalyst
by: Azaman, Fazureen, et al.
Published: (2015)

Hydrogen gas production from glycerol via steam reforming using nickel loaded zeolite catalyst

Artificial Neural Network Modeling Of Hydrogen Uptake Based On Carbon Surface Area
by: Razak, N.A., et al.
Published: (2004)

Carbon dioxide reforming of methane to syngas: modeling using response surface methodology and artificial neural network
by: Saidina Amin, Nor Aishah, et al.
Published: (2005)

Sustainable synthesis processes for carbon dots through response surface methodology and artificial neural network
by: Pudza, Musa Yahaya, et al.
Published: (2019)

Modeling And Optimization Of Lipase-Catalyzed Synthesis Of Adipate Esters Using Response Surface Methodology And Artificial Neural Network
by: Langroodi, Naz Chaibakhsh
Published: (2010)

Efficient extraction of antioxidants from Vernonia cinerea leaves: Comparing response surface methodology and artificial neural network
by: Alara, Oluwaseun Ruth, et al.
Published: (2018)

Modelling and optimization of process parameters for silver nanoparticles synthesis: A comparison between response surface methodology and artificial neural network
by: Chowdhury, Silvia, et al.
Published: (2016)

Correlation between response surface methodology and artificial neural network in the prediction of bioactive compounds of unripe Musa acuminata peel
by: Farhan, Mohd Said, et al.
Published: (2020)

Optimization of methane gas production from co-digestion of food waste and poultry manure using artificial neural network and response surface methodology
by: Tuan Yusof, Tengku Roslina, et al.
Published: (2014)

Modelling and Optimization of Syngas Production by Methane Dry Reforming Over Samarium Oxide Supported Cobalt Catalyst: Response Surface Methodology and Artificial Neural Networks Approach
by: Ayodele, Bamidele V., et al.
Published: (2016)

Evaluation of the estimation capability of response surface methodology and artificial neural network for the optimization of bacteriocin-like inhibitory substances production by Lactococcus lactis Gh1
by: Jawan, Roslina, et al.
Published: (2021)

Comparison of response surface methodology (RSM) and artificial neural networks (ANN) towards efficient extraction of artemisinin from Artemisia annua
by: Pilkington, J.L., et al.
Published: (2015)

Optimal enzyme-assisted extraction of Phenolics from leaves of Pongamia pinnata via response surface methodology and artificial neural networking
by: Aziz, Tariq, et al.
Published: (2024)

Enzymatic Synthesis of 3-O-Acylbetulinic Acid Derivatives and Prediction of Acylation Using Response Surface Methodology and Artificial Neural Network Analyses
by: Moghaddam, Mansour Ghaffari
Published: (2010)

Nutrients interaction investigation to improve Monascus purpureus FTC5391 growth rate using response surface methodology and artificial neural network
by: Ajdari, Zahra, et al.
Published: (2013)

Artificial neural network modelling for the prediction of carbon surface area
by: Abd. Razak, Norhuda, et al.
Published: (2004)

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models
by: Hamid, Hazren A., et al.
Published: (2016)

Comparative Prediction of Red Alga Biosorbent Performance in Dye Removal using Multivariate Models of Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
by: Nadiah, Mokhtar, et al.
Published: (2018)

Comparative analyses of response surface methodology and artificial neural network on medium optimization for Tetraselmis sp. FTC209 grown under mixotrophic condition
by: Mohamed, Mohd Shamzi, et al.
Published: (2013)

Artificial Neural Network Modelling of Biogas Production Processes
by: Abdul Sahli, Fakharudin, et al.
Published: (2018)

Hydrogen desorption study of as-synthesized carbon nanotubes using artificial neural network
by: Abdul Rahman, Ali, et al.
Published: (2005)

Modeling of acetosolv pulping of oil palm fronds using response surface methodology and wavelet neural networks
by: Razali, Nasrullah, et al.
Published: (2019)

A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM
by: Ebrahimpour, Afshin, et al.
Published: (2008)

Nanocellulose reinforced zeolite based geopolymer concrete: density analysis through response surface methodology
by: Tay, Chai Hua, et al.
Published: (2022)

A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
by: I. M., Yusri, et al.
Published: (2018)

Artificial neural network
by: Muhamad Nor, Norfarina, et al.
Published: (2016)

Application of Response Surface Methodology (RSM) to optimize COD and ammoniacal nitrogen removal from leachate using moringa and zeolite mixtures
by: Daud, Zawawi, et al.
Published: (2018)

Statistical optimization of the phytoremediation of arsenic by ludwigia octovalvis in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN)
by: Titah, Harmin Sulistiyaning, et al.
Published: (2018)

Modeling load-settlement curves of behaviour bored piles using artificial neural networks
by: Alkroosh, Iyad, et al.
Published: (2010)

Surface roughness modeling for CNC end milling using artificial neural network
by: Al Hazza, Muataz Hazza Faizi, et al.
Published: (2013)

Forecasting plug-in electric vehicles load profile using artificial neural networks
by: Panahi, D., et al.
Published: (2015)

Application of Artificial Neural Network in Detection of DOS Attacks
by: Ahmad, iftikhar, et al.
Published: (2009)

Application of Artificial Neural Network in Detection of Probing Attacks
by: I., Ahmad, et al.
Published: (2010)

Application of Artificial Neural Network in Detection of Probing Attacks
by: Ahmad, iftikhar, et al.
Published: (2009)

Applications of artificial neural networks in engine cooling system
by: Hasan, Md Munirul, et al.
Published: (2021)

An application of artificial neural network classifier for medical diagnosis
by: Khaleel Ibraheem, Amjed
Published: (2013)

A New Intelligent Autoreclosing Scheme Using Artificial Neural Network and Taguchi’s Methodology
by: Fitiwi, Desta Zahlay, et al.
Published: (2011)

Modeling the load-displacement curve for fully-grouted cable bolts using Artificial Neural Networks
by: Farhadian, A., et al.
Published: (2016)