Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Sergey O, Starkov
Application of Spiking Neural Networks for Modelling the Process of High-Temperature Hydrogen Production in Systems With Gas-Cooled Reactors *
Nuclear Energy and Technology
Figure 1 From: Starkov SO, Lavrenkov YN (2019) Application of Spiking Neural Networks for Modelling the Process of High-Temperature Hydrogen Production in Systems With Gas-Cooled Reactors *. Nuclear Energy and Technology 5(2): 39-47.
Figure 5 From: Starkov SO, Lavrenkov YN (2019) Application of Spiking Neural Networks for Modelling the Process of High-Temperature Hydrogen Production in Systems With Gas-Cooled Reactors *. Nuclear Energy and Technology 5(2): 39-47.
Related publications
THATCH: A Computer Code for Modelling Thermal Networks of High- Temperature Gas-Cooled Nuclear Reactors
Validation of SCALE for High Temperature Gas-Cooled Reactors Analysis
Nuclear Hydrogen Production Based on High Temperature Gas Cooled Reactor in China
Chinese Journal of Engineering Science
Power Cycle Assessment of Nuclear High Temperature Gas-Cooled Reactors
Applied Thermal Engineering
Power Technology
Industrial
Manufacturing Engineering
Energy Engineering
Analysis of the ReSuMe Learning Process for Spiking Neural Networks
International Journal of Applied Mathematics and Computer Science
Engineering
Computer Science
Applied Mathematics
Artificial Neural Networks for Controlling the Temperature of Internally Cooled Turning Tools
Modern Mechanical Engineering
Assessment of Very High-Temperature Reactors in Process Applications. Appendix III. Engineering Evaluation of Process Heat Applications for Very-High Temperature Reactors
