Zobrazeno 1 - 10
of 922
pro vyhledávání: '"Yu Lina"'
Autor:
Croppi Sofia, Yu Lina, Robinette Chris S., Hassler Edgar E., Newmark Adam J., Scott Andrew, Cazier Joseph, Song Junxia, Formato Giovanni
Publikováno v:
Journal of Apicultural Science, Vol 65, Iss 2, Pp 265-277 (2021)
Legislation plays a key role in regulating beekeeping practices and biosecurity measures, but different countries present conflicting legislative frameworks in terms of allowing antibiotic use. Currently the EU and the UK only permit antibiotics unde
Externí odkaz:
https://doaj.org/article/3803664c209b41a0ae252a55c7524805
Managing Irrigation Scheduling to Alleviate the Impact of Salk Rot and Improve Yield of Winter Wheat
Publikováno v:
Guan'gai paishui xuebao, Vol 40, Iss 9, Pp 24-31 (2021)
【Background and objective】 Stem and root rot is a common disease of winter wheat. It not only affects crop growth but also root uptake of water. Considering that increasing irrigation times might spread the pathogen, an optimal combination of irr
Externí odkaz:
https://doaj.org/article/7e00a92c74bd4e09b4d7b414190ae853
Symbolic regression is a task aimed at identifying patterns in data and representing them through mathematical expressions, generally involving skeleton prediction and constant optimization. Many methods have achieved some success, however they treat
Externí odkaz:
http://arxiv.org/abs/2408.07719
Autor:
Liu, Jingyi, Li, Yanjie, Yu, Lina, Wu, Min, Li, Weijun, Li, Wenqiang, Hao, Meilan, Deng, Yusong, Wei, Shu
Noise ubiquitously exists in signals due to numerous factors including physical, electronic, and environmental effects. Traditional methods of symbolic regression, such as genetic programming or deep learning models, aim to find the most fitting expr
Externí odkaz:
http://arxiv.org/abs/2406.14844
Formulas are the language of communication between humans and nature. It is an important research topic of artificial intelligence to find expressions from observed data to reflect the relationship between each variable in the data, which is called a
Externí odkaz:
http://arxiv.org/abs/2406.05410
Autor:
Wei, Shu, Li, Yanjie, Yu, Lina, Wu, Min, Li, Weijun, Hao, Meilan, Li, Wenqiang, Liu, Jingyi, Deng, Yusong
Solving partial differential equations (PDEs) in Euclidean space with closed-form symbolic solutions has long been a dream for mathematicians. Inspired by deep learning, Physics-Informed Neural Networks (PINNs) have shown great promise in numerically
Externí odkaz:
http://arxiv.org/abs/2405.14620
Autor:
Li, Yanjie, Li, Weijun, Yu, Lina, Wu, Min, Liu, Jingyi, Li, Wenqiang, Hao, Meilan, Wei, Shu, Deng, Yusong
The mathematical formula is the human language to describe nature and is the essence of scientific research. Finding mathematical formulas from observational data is a major demand of scientific research and a major challenge of artificial intelligen
Externí odkaz:
http://arxiv.org/abs/2404.06330
Autor:
Li, Yanjie, Liu, Jingyi, Li, Weijun, Yu, Lina, Wu, Min, Li, Wenqiang, Hao, Meilan, Wei, Su, Deng, Yusong
Mathematical formulas are the crystallization of human wisdom in exploring the laws of nature for thousands of years. Describing the complex laws of nature with a concise mathematical formula is a constant pursuit of scientists and a great challenge
Externí odkaz:
http://arxiv.org/abs/2402.18603
Symbolic regression aims to derive interpretable symbolic expressions from data in order to better understand and interpret data. %which plays an important role in knowledge discovery and interpretable machine learning. In this study, a symbolic netw
Externí odkaz:
http://arxiv.org/abs/2401.15103
Autor:
Li, Yanjie, Li, Weijun, Yu, Lina, Wu, Min, Liu, Jingyi, Li, Wenqiang, Hao, Meilan, Wei, Shu, Deng, Yusong
Finding a concise and interpretable mathematical formula that accurately describes the relationship between each variable and the predicted value in the data is a crucial task in scientific research, as well as a significant challenge in artificial i
Externí odkaz:
http://arxiv.org/abs/2401.14424