scholarly journals Design of neural network model-based controller in a fed-batch microbial electrolysis cell reactor for bio-hydrogen gas production

2018 ◽  
Vol 334 ◽  
pp. 012021
Author(s):  
Azwar ◽  
M A Hussain ◽  
A K Abdul-Wahab ◽  
M F Zanil ◽  
Mukhlishien
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Gas Production ◽  
Hydrogen Gas ◽  
Electrolysis Cell ◽  
Microbial Electrolysis Cell ◽  
Fed Batch ◽  
Model Based ◽  
Cell Reactor

Hydrogen gas production with an electroformed Ni mesh cathode catalysts in a single-chamber microbial electrolysis cell (MEC)

2015 ◽  
Vol 40 (41) ◽  
pp. 14095-14103 ◽  
Author(s):  
Abudukeremu Kadier ◽  
Yibadatihan Simayi ◽  
K. Chandrasekhar ◽  
Manal Ismail ◽  
Mohd Sahaid Kalil
Keyword(s):  
Gas Production ◽  
Hydrogen Gas ◽  
Electrolysis Cell ◽  
Microbial Electrolysis Cell ◽  
Single Chamber ◽  
Cathode Catalysts ◽  
Microbial Electrolysis

scholarly journals CONSTRUCTION OF NEURAL NETWORK MODEL FOR STUDYING OF CRYSTAL STRUCTURES PROPERTIES

2021 ◽  
Author(s):  
Olga Uvarova ◽  
Sergey Uvarov
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Total Energy ◽  
Crystal Structures ◽  
Network Model ◽  
Neural Network Model ◽  
Cohesive Energy ◽  
Computational Experiment ◽  
Model Based ◽  
Artificial Neural

The paper considers a mechanism for constructing a model based on artificial neural network for obtaining the values of the cohesive energy of a system of atoms. Cohesive energy allows for calculation of total energy of system. It is one of the most important characteristics of a structure. A computational experiment is carried out for one-component crystal structures of Si, Ge and C.

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