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

Response Surface ◽

Surface Adsorption ◽

Nio Nanoparticles ◽

Network Modelling ◽

Artificial Neural ◽

Correction to: 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/s00521-018-3341-4 ◽

2018 ◽

Vol 29 (10) ◽

pp. 981-981

Author(s):

Saber Khodaei Ashan ◽

Nasim Ziaeifar ◽

Rana Khalilnezhad

Keyword(s):

Neural Network ◽

Response Surface ◽

Surface Adsorption ◽

Nio Nanoparticles ◽

Network Modelling ◽

Artificial Neural ◽

Estimation of design space for an extrusion–spheronization process using response surface methodology and artificial neural network modelling

European Journal of Pharmaceutics and Biopharmaceutics ◽

10.1016/j.ejpb.2016.05.009 ◽

2016 ◽

Vol 106 ◽

pp. 79-87 ◽

Cited By ~ 9

Author(s):

Tamás Sovány ◽

Zsófia Tislér ◽

Katalin Kristó ◽

András Kelemen ◽

Géza Regdon

Keyword(s):

Neural Network ◽

Response Surface ◽

Design Space ◽

Network Modelling ◽

Artificial Neural ◽

Artificial Neural Network Modelling ◽

Extrusion Spheronization

Response surface methodology and artificial neural network modelling for enhancing maturity parameters during vermicomposting of floral waste

Bioresource Technology ◽

10.1016/j.biortech.2021.124672 ◽

2021 ◽

pp. 124672

Author(s):

Dayanand Sharma ◽

Ashutosh Kumar Pandey ◽

Kunwar Durg Yadav ◽

Sunil Kumar

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Modelling ◽

Artificial Neural ◽

Artificial Neural Network Modelling ◽

Maturity Parameters

Response surface methodology and artificial neural network modelling of an aqueous two-phase system for purification of a recombinant alkaline active xylanase

Process Biochemistry ◽

10.1016/j.procbio.2015.12.018 ◽

2016 ◽

Vol 51 (3) ◽

pp. 452-462 ◽

Cited By ~ 17

Author(s):

Farshad Rahimpour ◽

Rajni Hatti-Kaul ◽

Gashaw Mamo

Keyword(s):

Neural Network ◽

Response Surface ◽

Phase System ◽

Network Modelling ◽

Two Phase ◽

Aqueous Two Phase System ◽

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 ◽

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 ◽

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 ◽

Advances in Robotics, Automation and Data Analytics - Advances in Intelligent Systems and Computing ◽

Artificial Neural Network Modelling for Slow Pyrolysis Process of Biochar from Banana Peels and Its Effect on O/C Ratio

10.1007/978-3-030-70917-4_32 ◽

2021 ◽

pp. 336-350

Author(s):

Neoh Jia Hsiang ◽

Anurita Selvarajoo ◽

Senthil Kumar Arumugasamy

Keyword(s):

Neural Network ◽

Pyrolysis Process ◽

Network Modelling ◽

Slow Pyrolysis ◽

Artificial Neural ◽

Artificial Neural Network Modelling of Common Lambsquarters Biomass Production Response to Corn Population and Planting Pattern

Pakistan Journal of Biological Sciences ◽

10.3923/pjbs.2007.326.334 ◽

2007 ◽

Vol 10 (2) ◽

pp. 326-334 ◽

Cited By ~ 3

Author(s):

S.F. Saberali ◽

S.A. Sadat Noor ◽

J. Khazaei ◽

A. Hejazi

Keyword(s):

Neural Network ◽

Biomass Production ◽

Network Modelling ◽

Planting Pattern ◽

Common Lambsquarters ◽

Artificial Neural ◽

Artificial Neural Network Modelling ◽

Production Response

Ultrasonic-Assisted Extraction of Phalerin from Phaleria macrocarpa: Response Surface Methodology and Artificial Neural Network Modelling

Arabian Journal for Science and Engineering ◽

10.1007/s13369-020-04639-8 ◽

2020 ◽

Vol 45 (9) ◽

pp. 7635-7644

Author(s):

Faiqah Ramli ◽

Mariani Abdul Hamid ◽

Roswanira Abdul Wahab ◽

Intan Safinar Ismail ◽

Thiruventhan Karunakaran

Keyword(s):

Neural Network ◽

Response Surface ◽

Network Modelling ◽

Assisted Extraction ◽

Ultrasonic Assisted ◽

Phaleria Macrocarpa ◽

Ultrasonic Assisted Extraction ◽