Results 11 to 20 of about 10,936 (259)

First access to ELM-free negative triangularity at low aspect ratio

Nuclear Fusion
A plasma scenario with negative triangularity (NT) shaping is achieved on MAST-U for the first time. While edge localized modes (ELMs) are eventually suppressed as the triangularity is decreased below $\delta\lesssim-0.06$ , an extended period of H-mode ...
A.O. Nelson, C. Vincent, H. Anand, J. Lovell, J.F. Parisi, H.S. Wilson, K. Imada, W.P. Wehner, M. Kochan, S. Blackmore, G. McArdle, S. Guizzo, L. Rondini, S. Freiberger, C. Paz-Soldan, the MAST-U Team   +15 more
doaj   +3 more sources

Inverse-Free Incremental Learning Algorithms With Reduced Complexity for Regularized Extreme Learning Machine

IEEE Access, 2020
The existing inverse-free incremental learning algorithm for the regularized extreme learning machine (ELM) was based on an inverse-free algorithm to update the regularized pseudo-inverse, which was deduced from an inverse-free recursive algorithm to ...
Hufei Zhu, Yanpeng Wu
doaj   +1 more source

Inverse-Matrix-Free Online Sequential Extreme Learning Machine

Jisuanji kexue yu tansuo, 2020
Since the existing inverse-matrix-free extreme learning machine (IF-ELM) only works well in batched way, this paper extends it into its inverse-matrix-free online sequential version called the inverse-matrix-free online sequential extreme learning ...
ZUO Pengyu, WANG Shitong
doaj   +1 more source

ELM sputter erosion modeling of a tungsten coated small angle slot divertor in DIII-D

Nuclear Fusion, 2023
We modeled plasma edge localized mode (ELM) sputter erosion for a Small Angle Slot divertor with a tungsten coated region (SAS-VW), designed for experiments in the DIII-D tokamak, and proposed for use in future advanced tokamaks.
J.N. Brooks, T. Sizyuk, G. Sinclair, T. Abrams, A. Hassanein   +4 more
doaj   +1 more source

Numerical Simulation of Erosion Characteristics and Residual Life Prediction of Defective Pipelines Based on Extreme Learning Machine

Energies, 2022
Aiming to solve the problem that the residual life of defective elbows is difficult to predict and the prediction accuracy of a traditional extreme learning machine (ELM) is unsatisfactory, a genetic algorithm optimization neural network extreme learning
Qi Wang, Chao Sun, Yuelin Li, Yuechan Liu   +3 more
doaj   +1 more source

Analysis and expansion of the quasi-continuous exhaust (QCE) regime in ASDEX Upgrade

Nuclear Fusion, 2023
The quasi-continuous exhaust (QCE) regime, formerly known as either type-II ELM or small ELM regime is studied in ASDEX Upgrade. The regime is a natural type-I ELM-free H-mode.
M. Faitsch, T. Eich, G.F. Harrer, E. Wolfrum, D. Brida, P. David, M. Dunne, L. Gil, B. Labit, U. Stroth, the ASDEX Upgrade Team, the EUROfusion MST1 Team   +11 more
doaj   +1 more source

Effect of hydrothermal treatment on the acoustic properties of wood from Walnut and Elm species, utilizable in musical instruments [PDF]

تحقیقات علوم چوب و کاغذ ایران, 2014
The objective of this study was to investigate the influence of hydrothermal treatment of walnut (Juglans regia) and caucasian elm (Zelkova Carpinifolia) wood species on their acoustic properties in radial and tangential directions.
Mohammad Ghofrani, Hossein Hosseinkhani, Habib Rahimi dastjerdi, Saeid Khojasteh khosro, Parviz Amiri   +4 more
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A State Space Modeling Method for Aero-Engine Based on AFOS-ELM

Energies, 2022
State space models (SSMs) are important for multi-variable performance analysis and controller design of aero-engines. In order to solve the problems of the traditional state space modeling methods that rely on component-level models (CLMs) and cannot be
Hongyi Chen, Qiuhong Li, Shuwei Pang, Wenxiang Zhou   +3 more
doaj   +1 more source

Compatibility of large ELM control and stable partial detachment with neon/argon seeding in EAST

Nuclear Fusion, 2023
It is necessary to achieve simultaneous exhaust of excessive transient and steady-state heat fluxes on the divertor target for the divertor protection in the future fusion reactors.
K. Li, X. Lin, Z. Yang, Q. Yang, G. Xu, L. Meng, Y. Wang, H. Lan, B. Zhang, L. Xu, K. Wu, T. He, J. Xu, J. Wu, F. Ding, Y. Duan, S. Mao, Q. Zang, L. Zhang, T. Zhang, F. Wang, L. Wang, G.-N. Luo   +22 more
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Functional extreme learning machine

Frontiers in Computational Neuroscience, 2023
IntroductionExtreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional methods and yields promising performance.
Xianli Liu, Guo Zhou, Yongquan Zhou, Yongquan Zhou, Yongquan Zhou, Qifang Luo, Qifang Luo   +6 more
doaj   +1 more source