Classification of tokamak plasma confinement states with convolutional recurrent neural networks
During a tokamak discharge, the plasma can vary between different confinement regimes:
low (L), high (H) and, in some cases, a temporary (intermediate state), called dithering (D). In …
low (L), high (H) and, in some cases, a temporary (intermediate state), called dithering (D). In …
Plasma confinement mode classification using a sequence-to-sequence neural network with attention
F Matos, V Menkovski, A Pau, G Marceca… - Nuclear …, 2021 - iopscience.iop.org
In a typical fusion experiment, the plasma can have several possible confinement modes. At
the tokamak à configuration variable, aside from the low (L) and high (H) confinement …
the tokamak à configuration variable, aside from the low (L) and high (H) confinement …
Automated estimation of L/H transition times at JET by combining Bayesian statistics and support vector machines
This paper describes a pattern recognition method for off-line estimation of both L/H and H/L
transition times in JET. The technique is based on a combined classifier to identify the …
transition times in JET. The technique is based on a combined classifier to identify the …
[PDF][PDF] Автоматическое определение изменений эмоционального состояния по речевому сигналу
АА Лукьяница, АГ Шишкин - Речевые, 2009 - lab314.brsu.by
This paper reports results in development of a computer system that explores the emotional
state of a human by his speech. The system consists of two parts: speech features extraction …
state of a human by his speech. The system consists of two parts: speech features extraction …
Realization of automatic data cleaning and feedback conditioning for J-TEXT ECEI signals based on machine learning
Z Zhang, Z Yang, Y Gao, X Zha, Z Jin, Q Luo… - Fusion Engineering and …, 2022 - Elsevier
Abstract In recent years, Electron Cyclotron Emission Imaging (ECEI) diagnostics and many
other imaging diagnostics have become increasingly important in magnetic confinement …
other imaging diagnostics have become increasingly important in magnetic confinement …
Modeling fusion data in probabilistic metric spaces: Applications to the identification of confinement regimes and plasma disruptions
Pattern recognition is becoming an increasingly important tool for making inferences from
the massive amounts of data produced in fusion experiments. In this work, we present an …
the massive amounts of data produced in fusion experiments. In this work, we present an …
Automatic location of L/H transition times for physical studies with a large statistical basis
S González, J Vega, A Murari, A Pereira… - Plasma Physics and …, 2012 - iopscience.iop.org
Completely automatic techniques to estimate and validate L/H transition times can be
essential in L/H transition analyses. The generation of databases with hundreds of transition …
essential in L/H transition analyses. The generation of databases with hundreds of transition …
Neural Network-Based Confinement Mode Prediction for Real-Time Disruption Avoidance
D Orozco, B Sammuli, J Barr, W Wehner… - … on Plasma Science, 2022 - ieeexplore.ieee.org
Reliable disruption avoidance techniques are critical for the development of safe and
economically viable fusion reactors. This incipient need has driven the fusion community to …
economically viable fusion reactors. This incipient need has driven the fusion community to …
Deep Learning for Tomography, State Classification and Event Detection in Nuclear Fusion Plasmas
F Duarte Pinto de Almeida Matos - 2021 - mediatum.ub.tum.de
Nuclear fusion experiments regularly generate large amounts of data that can constitute a
rich source of information for new scientific and engineering insights. Yet in many cases, the …
rich source of information for new scientific and engineering insights. Yet in many cases, the …
The NNTMM code: Mathematical modeling, optimization, and data analysis through neural networks
DP Kostomarov, FS Zaitsev, AA Luk'yanitsa… - Moscow University …, 2013 - Springer
The concept, functional capabilities, graphic interface, and application technology for the
NNTMM code (Neural Network Tool for Mathematical Modeling), designed for analyzing …
NNTMM code (Neural Network Tool for Mathematical Modeling), designed for analyzing …