Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Nyima Tashi"'
Publikováno v:
IEEE Access, Vol 8, Pp 72727-72741 (2020)
Activation functions facilitate deep neural networks by introducing non-linearity to the learning process. The non-linearity feature gives the neural network the ability to learn complex patterns. Recently, the most widely used activation function is
Externí odkaz:
https://doaj.org/article/97221c6927ca462abe2ab13a225ac961
Autor:
Xingquan Zeng, Yu Guo, Qijun Xu, Martin Mascher, Ganggang Guo, Shuaicheng Li, Likai Mao, Qingfeng Liu, Zhanfeng Xia, Juhong Zhou, Hongjun Yuan, Shuaishuai Tai, Yulin Wang, Zexiu Wei, Li Song, Sang Zha, Shiming Li, Yawei Tang, Lijun Bai, Zhenhua Zhuang, Weiming He, Shancen Zhao, Xiaodong Fang, Qiang Gao, Ye Yin, Jian Wang, Huanming Yang, Jing Zhang, Robert J. Henry, Nils Stein, Nyima Tashi
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
The origin of Tibetan barley (qingke) has been a controversial issue for many years. Here, the authors conduct population genomics study to support that qingke is derived from eastern domesticated barley instead of Tibetan wild barley and suggest sou
Externí odkaz:
https://doaj.org/article/b6d48388ca0b4f808de911d2bc34f261
Publikováno v:
BMC Genetics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Clarifying genetic diversity in a large germplasm resource plays important roles in experimental designs that provides flexible utility in fundamental research and breeding in crops. However, the work is limited due to small colle
Externí odkaz:
https://doaj.org/article/e6ad7a66370d448db42f15c0250227b7
Autor:
Xin Chen, Hai Long, Ping Gao, Guangbing Deng, Zhifen Pan, Junjun Liang, Yawei Tang, Nyima Tashi, Maoqun Yu
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e98144 (2014)
BACKGROUND: Hulless barley is attracting increasing attention due to its unique nutritional value and potential health benefits. However, the molecular biology of the barley grain development and nutrient storage are not well understood. Furthermore,
Externí odkaz:
https://doaj.org/article/db61773c206040b18ca200a2ce87b7a5
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Hulless barley is an important cereal crop worldwide, especially in Tibet of China. However, this crop is usually susceptible to powdery mildew caused by Blumeria graminis f. sp. hordei. In this study, we aimed to understand the functions and pathway
Externí odkaz:
https://doaj.org/article/b6ab376907614c619fb39bb9c40ab586
Autor:
Dingfa Zhang, Nyima Tashi, Nijing Yang, Kaibo Shi, Jingye Cai, Shouming Zhong, Yongbin Yu, Xiangxiang Wang
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:2142-2156
This paper investigates the heterogeneous impulsive synchronization for T-S fuzzy probabilistic coupled delayed neural networks (CDNNs) with mode-dependent parameters and piecewise membership functions. To begin with, a novel CDNNs model considering
Autor:
Nijing Yang, Kaibo Shi, Pinaki Mazumder, Nyima Tashi, Jingye Cai, Shouming Zhong, Yongbin Yu, Xiangxiang Wang
Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:779-793
This paper addresses the problem of dynamic pinning synchronization of fuzzy-dependent-switched (Fds) coupled memristive neural networks (CMNNs) with mismatched dimensions on time scales. To begin with, the probabilistic coupling delays, time scales,
Publikováno v:
Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing.
Publikováno v:
Journal of Systems Engineering and Electronics. 32:1062-1070
This paper proposes a mem-computing model of memristive network-based genetic algorithm (MNGA) by building up the relationship between the memristive network (MN) and the genetic algorithm (GA), and a new edge detection algorithm where image pixels a