Zobrazeno 1 - 10
of 845
pro vyhledávání: '"ZHONG Guoqiang"'
Publikováno v:
He jishu, Vol 46, Iss 2, Pp 020001-020001 (2023)
The nuclear fusion reaction using deuterium and tritium fuel produces a large number of neutrons, γ rays and activation products, which have an impact on the radiation safety of people and the environment. In order to reduce the impact of ionizing r
Externí odkaz:
https://doaj.org/article/f8b0aeac6edf46dcb16c4c9be368d0ae
Autor:
WEN Xiaodong, XU Liqing, HU Liqun, LIU Haiqing, DUAN Yanmin, CHU Yuqi, ZHONG Guoqiang, ZHANG Wei, ZHANG Xinjun, MAI Chaowei
Publikováno v:
He jishu, Vol 46, Iss 1, Pp 010502-010502 (2023)
BackgroundSawtooth oscillations are macroscopic instabilities in plasma. To better control the sawtooth oscillation in an advanced experimental superconducting tokamak (EAST) device, it is necessary to develop sawtooth controlling methods that help i
Externí odkaz:
https://doaj.org/article/8f4c36b141da4ed4a6e5a8985d3bba57
The tool-use Large Language Models (LLMs) that integrate with external Python interpreters have significantly enhanced mathematical reasoning capabilities for open-source LLMs, while tool-free methods chose another track: augmenting math reasoning da
Externí odkaz:
http://arxiv.org/abs/2405.07551
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 15, Iss 3, Pp 136-142,184 (2020)
[Objectives] In order to improve the accuracy of intelligent fault diagnosis of marine diesel engine, the deep learning is introduced,and a method based on deep belief network(DBN)for intelligent fault diagnosis of marine diesel engine is proposed.[M
Externí odkaz:
https://doaj.org/article/09f8142b8a8b4f44ae369e2c4966fcc1
Autor:
Shi, Shangshang, Wang, Zhimin, Li, Jiaxin, Li, Yanan, Shang, Ruimin, Zheng, Haiyong, Zhong, Guoqiang, Gu, Yongjian
The self-attention mechanism (SAM) has demonstrated remarkable success in various applications. However, training SAM on classical computers becomes computationally challenging as the number of trainable parameters grows. Quantum neural networks (QNN
Externí odkaz:
http://arxiv.org/abs/2305.15680
Autor:
Shi, Shangshang, Wang, Zhimin, Shang, Ruimin, Li, Yanan, Li, Jiaxin, Zhong, Guoqiang, Gu, Yongjian
The taxonomic composition and abundance of phytoplankton, having direct impact on marine ecosystem dynamic and global environment change, are listed as essential ocean variables. Phytoplankton classification is very crucial for Phytoplankton analysis
Externí odkaz:
http://arxiv.org/abs/2303.03707
Autor:
Li, Yanan, Wang, Zhimin, Han, Rongbing, Shi, Shangshang, Li, Jiaxin, Shang, Ruimin, Zheng, Haiyong, Zhong, Guoqiang, Gu, Yongjian
Quantum neural network (QNN) is one of the promising directions where the near-term noisy intermediate-scale quantum (NISQ) devices could find advantageous applications against classical resources. Recurrent neural networks are the most fundamental n
Externí odkaz:
http://arxiv.org/abs/2302.03244
Autor:
Zheng, Zhuoyuan, Zhou, Xianlong, Zhu, ZhengFeng, Zhou, Jie, Zhong, Guoqiang, Yao, Wangbing, Zhu, Yusong
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
Autor:
Zhang, Yubo, Zhong, Guoqiang, Huang, Liangsheng, Xu, Mingyuan, Hu, Liqun, Huang, Juan, Xu, Kun, Zhang, Ruixue, Yang, Li, Mai, Chaowei, Zhang, Yongqiang, Chen, Weikun, Ogawa, K., Isobe, M., Fan, Tieshuan, Zhou, Mengjie
Publikováno v:
In Fusion Engineering and Design September 2024 206