Application of spiking neural networks for modelling the process of high-temperature hydrogen production in systems with gas-cooled reactors

Application of spiking neural networks for modelling the process of high-temperature hydrogen production in systems with gas-cooled reactors

Hydrogen energy is able to solve the problem of the dependence of modern industries on fossil fuels and significantly reduce the amount of harmful emissions. One of the ways to produce hydrogen is high-temperature water-steam electrolysis. Increasing the temperature of the steam in...

Full description

Bibliographic Details
Main Authors:	Sergey O. Starkov, Yury N. Lavrenkov
Format:	Article
Language:	English
Published:	National Research Nuclear University (MEPhI) 2019-06-01
Series:	Nuclear Energy and Technology
Subjects:	Spiking neural networks high-te
Online Access:	https://nucet.pensoft.net/article/36474/download/pdf/

Similar Items

HF-SNN: High-Frequency Spiking Neural Network
by: Jing Su, et al.
Published: (2021-01-01)

Sparse Computation in Adaptive Spiking Neural Networks
by: Davide Zambrano, et al.
Published: (2019-01-01)

EDHA: Event-Driven High Accurate Simulator for Spike Neural Networks
by: Lingfei Mo, et al.
Published: (2021-09-01)

Probabilistic Spike Propagation for Efficient Hardware Implementation of Spiking Neural Networks
by: Abinand Nallathambi, et al.
Published: (2021-07-01)

Modified Elman Spike Neural Network for Identification and Control of Dynamic System
by: Nadia Adnan Shiltagh Al-Jamali, et al.
Published: (2020-01-01)

An Efficient and Perceptually Motivated Auditory Neural Encoding and Decoding Algorithm for Spiking Neural Networks
by: Zihan Pan, et al.
Published: (2020-01-01)

A Spiking Bidirectional Associative Memory Neural Network
by: Johnson, Melissa
Published: (2021)

Analyzing large-scale spiking neural data with HRLAnalysis
by: Corey Michael Thibeault, et al.
Published: (2014-03-01)

Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
by: Luis A. Camuñas-Mesa, et al.
Published: (2019-08-01)

Prediction of the moderator temperature field in a heavy water reactor based on a cellular neural network
by: S.O. Starkov, et al.
Published: (2017-06-01)

Integrating Non-spiking Interneurons in Spiking Neural Networks
by: Beck Strohmer, et al.
Published: (2021-03-01)

Spiking Neural Networks based on OxRAM Synapses for Real-time Unsupervised Spike Sorting
by: Thilo Werner, et al.
Published: (2016-11-01)

Learning in large-scale spiking neural networks
by: Bekolay, Trevor
Published: (2011)

Learning in large-scale spiking neural networks
by: Bekolay, Trevor
Published: (2011)

Self-consistent determination of the spike-train power spectrum in a neural network with sparse connectivity
by: Benjamin eDummer, et al.
Published: (2014-09-01)

LogicSNN: A Unified Spiking Neural Networks Logical Operation Paradigm
by: Lingfei Mo, et al.
Published: (2021-08-01)

Spiking Neural P Systems Simulation and Verification
by: Lefticaru, Raluca, et al.
Published: (2021)

Multilayer Photonic Spiking Neural Networks: Generalized Supervised Learning Algorithm and Network Optimization
by: Fu, C., et al.
Published: (2022)

Spiking Neural Membrane Computing Models
by: Xiyu Liu, et al.
Published: (2021-04-01)

Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems
by: Wenzhe Guo, et al.
Published: (2021-03-01)

ACCELERATION OF SPIKING NEURAL NETWORK ON GENERAL PURPOSE GRAPHICS PROCESSORS
by: Han, Bing
Published: (2010)

The effect of an exogenous alternating magnetic field on neural coding in deep spiking neural networks
by: Lei Guo, Wei Zhang, Jialei Zhang
Published: (2018-05-01)

Effects of Spike Anticipation on the Spiking Dynamics of Neural Networks
by: Daniel ede Santos-Sierra, et al.
Published: (2015-11-01)

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks
by: Samuel Schmidgall, et al.
Published: (2021-09-01)

Compact Graphene-Based Spiking Neural Network With Unsupervised Learning Capabilities
by: He Wang, et al.
Published: (2020-01-01)

Efficient Spiking Neural Networks With Logarithmic Temporal Coding
by: Ming Zhang, et al.
Published: (2020-01-01)

Temporal Spiking Recurrent Neural Network for Action Recognition
by: Wei Wang, et al.
Published: (2019-01-01)

Training Deep Spiking Neural Networks using Backpropagation
by: Jun Haeng Lee, et al.
Published: (2016-11-01)

Neural Spike Detection and Classification Using Massively Parallel Graphics Processing
by: Ervin, Brian
Published: (2013)

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron
by: Milad Mozafari, et al.
Published: (2019-07-01)

Studying a Reinforcement Learning Technique for the Spiking Neural Network
by: A. V. Kozov, et al.
Published: (2016-01-01)

Odor Recognition with a Spiking Neural Network for Bioelectronic Nose
by: Ming Li, et al.
Published: (2019-02-01)

EEG-Based Emotion Classification Using Spiking Neural Networks
by: Yuling Luo, et al.
Published: (2020-01-01)

Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot
by: Sergey A. Lobov, et al.
Published: (2020-02-01)

Using Stochastic Spiking Neural Networks on SpiNNaker to Solve Constraint Satisfaction Problems
by: Gabriel A. Fonseca Guerra, et al.
Published: (2017-12-01)

Spiking Neural Network Connectivity and its Potential for Temporal Sensory Processing and Variable Binding
by: Julie eWall, et al.
Published: (2013-12-01)

Memristive Spiking Neural Networks Trained with Unsupervised STDP
by: Errui Zhou, et al.
Published: (2018-12-01)

Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
by: Chankyu Lee, et al.
Published: (2020-02-01)

Optimization of Spiking Neural Networks Based on Binary Streamed Rate Coding
by: Ali A. Al-Hamid, et al.
Published: (2020-09-01)

An FPGA implementation of a polychronous spiking neural network with delay adaptation
by: Runchun Mark Wang, et al.
Published: (2013-02-01)

Cannot write session to /tmp/vufind_sessions/sess_skrt293jut9o247462l4tqvafo