Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Ling-Wei Kong"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Traditional neural network models of associative memories were used to store and retrieve static patterns. We develop reservoir-computing based memories for complex dynamical attractors, under two common recalling scenarios in neuropsycholog
Externí odkaz:
https://doaj.org/article/25886ef3186c424db5f307472dc4c3cd
Autor:
Shirin Panahi, Ling-Wei Kong, Mohammadamin Moradi, Zheng-Meng Zhai, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
Publikováno v:
Physical Review Research, Vol 6, Iss 4, p 043194 (2024)
Anticipating a tipping point, a transition from one stable steady state to another, is a problem of broad relevance due to the ubiquity of the phenomenon in diverse fields. The steady-state nature of the dynamics about a tipping point makes its predi
Externí odkaz:
https://doaj.org/article/377062eef7f44c80ada7c0fe3391659d
Autor:
Zheng-Meng Zhai, Mohammadamin Moradi, Ling-Wei Kong, Bryan Glaz, Mulugeta Haile, Ying-Cheng Lai
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Nonlinear tracking control enabling a dynamical system to track a desired trajectory is fundamental to robotics, serving a wide range of civil and defense applications. In control engineering, designing tracking control requires complete kno
Externí odkaz:
https://doaj.org/article/52701337be3c4c5993deb1adab474f6a
Publikováno v:
Physical Review Research, Vol 5, Iss 3, p 033127 (2023)
The benefits of noise to applications of nonlinear dynamical systems through mechanisms such as stochastic and coherence resonances have been well documented. Recent years have witnessed a growth of research in exploiting machine learning to predict
Externí odkaz:
https://doaj.org/article/4a5f8c903edf4ed2a4a1ee032e05490d
Publikováno v:
Physical Review Research, Vol 3, Iss 2, p 023237 (2021)
In realistic systems of coupled oscillators, it is desired to predict the onset of synchronization where the system equations are unknown, raising the need to develop a prediction framework that is model free and fully data driven. We show that this
Externí odkaz:
https://doaj.org/article/ea8a0fcf7dc141289de92dea4810c633
Publikováno v:
Physical Review Research, Vol 3, Iss 1, p 013090 (2021)
To predict a critical transition due to parameter drift without relying on a model is an outstanding problem in nonlinear dynamics and applied fields. A closely related problem is to predict whether the system is already in or if the system will be i
Externí odkaz:
https://doaj.org/article/8744052e9ec341958f74361c5549c5fc
Autor:
Ling-Wei Kong, Ying-Cheng Lai
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023196 (2020)
Chimera states arising in the classic Kuramoto system of two-dimensional phase-coupled oscillators are transient but they are “long” transients in the sense that the average transient lifetime grows exponentially with the system size. For reasona
Externí odkaz:
https://doaj.org/article/79fbe3d143304c7891859a7b31b8737b
Publikováno v:
Journal of Testing & Evaluation; Sep2024, Vol. 52 Issue 5, p1-18, 18p
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 16, Iss 1, Pp 1-8 (2021)
Abstract Background This study was aimed to explore the application value of modified closed biopsy technique in puncture biopsy of rabbit VX2 transplanted bone tumor model. Methods VX2 tumor was transplanted into the bilateral tibia of 30 rabbits th
Externí odkaz:
https://doaj.org/article/af31a57199d743a0a38539632b1c329e
Publikováno v:
World Journal of Clinical Cases. 11:2510-2520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2b2c9521e34121fb8f42bf715c9d4c
https://doi.org/10.12998/wjcc.v11.i11.2510
https://doi.org/10.12998/wjcc.v11.i11.2510