Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Yan, XiuFeng"'
Autor:
Yan, Xiufeng, Wang, Dianhui
Stochastic Configuration Networks (SCNs) are a class of randomized neural networks that integrate randomized algorithms within an incremental learning framework. A defining feature of SCNs is the supervisory mechanism, which adaptively adjusts the di
Externí odkaz:
http://arxiv.org/abs/2411.08544
Autor:
Farooq, Muhammad Ahsan, Ayyaz, Ahsan, Zou, Hui-Xi, Zhou, Weijun, Hannan, Fakhir, Yan, Xiufeng
Publikováno v:
In Plant Science November 2024 348
Autor:
Zhao, Dong-Sheng, Farooq, Muhammad Ahsan, Li, Min, Chen, Yu-Ting, Xu, Jia-Min, Liu, Xiao-Li, Zhang, Aiqin, Yan, Xiufeng, Zou, Hui-Xi, Pang, Qiuying
Publikováno v:
In Aquatic Toxicology November 2024 276
Autor:
Chen, Weiqi, Miao, Yilin, Ayyaz, Ahsan, Huang, Qian, Hannan, Fakhir, Zou, Hui-Xi, Zhang, Kangni, Yan, Xiufeng, Farooq, Muhammad Ahsan, Zhou, Weijun
Publikováno v:
In Industrial Crops & Products January 2025 223
Autor:
Zhao, Xiaofei, Su, Hongzhu, Kong, Xiangli, Hirai, Masami Yokota, Yan, Xiufeng, Li, Rui, Li, Jing
Publikováno v:
In Scientia Horticulturae 1 January 2025 339
Autor:
Zhao, Dong-Sheng, Chen, Yu-Ting, Xu, Jia-Min, Liu, Xiao-Li, Xu, Yi-Cheng, Cao, Peng, Li, Junliang, Wang, Shengqin, Li, Nan, Li, Yong, Li, Shu-Ming, Yan, Xiufeng, Pang, Qiuying, Zou, Hui-Xi
Publikováno v:
In Bioresource Technology January 2025 416
Autor:
Yan, Xiufeng, Tang, Qi
We study the effect of globalization of world economy between 1980 and 2010 by using network analysis technics on trade and GDP data of 71 countries in the world. We draw results distinguishing relatively developing and relatively developed countries
Externí odkaz:
http://arxiv.org/abs/2111.02633
Autor:
Yan, Xiufeng
This paper proposes a multiplicative component intraday volatility model. The intraday conditional volatility is expressed as the product of intraday periodic component, intraday stochastic volatility component and daily conditional volatility compon
Externí odkaz:
http://arxiv.org/abs/2111.02376
Autor:
Yan, Xiufeng
This paper explores the duration dynamics modelling under the Autoregressive Conditional Durations (ACD) framework (Engle and Russell 1998). I test different distributions assumptions for the durations. The empirical results suggest unconditional dur
Externí odkaz:
http://arxiv.org/abs/2111.02300
Autor:
Shi, Dexi, Huang, Huiting, Zhang, Yuting, Qian, Zhihao, Du, Jiao, Huang, Li, Yan, Xiufeng, Lin, Sue
Publikováno v:
In Plant Science April 2024 341