Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tong-Lu Xiao"'
Autor:
Zeng-Shun Zhao, Xiang Feng, Yan-yan Lin, Fang Wei, Shi-Ku Wang, Tong-Lu Xiao, Mao-Yong Cao, Zeng-Guang Hou, Min Tan
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate. By doing so, RBPF coul
Externí odkaz:
https://doaj.org/article/9c43a5dbf61144168f0f5a7c794dc2db
Publikováno v:
Jichu yixue yu linchuang, Vol 42, Iss 8, Pp 1314-1317 (2022)
Objective To evaluate standardized training simulation examination for residents trainees in ultrasound medicine. Methods From 2018 to 2020, all the 17 resident trainees participated in the training at the standardized training base for residents loc
Externí odkaz:
https://doaj.org/article/5272a85c5d56430c91771af0a8059917
Autor:
Tong-Lu Xiao, Fang Wei, Zeng-Guang Hou, Zeng-Shun Zhao, Shi-Ku Wang, Maoyong Cao, Yan-yan Lin, Xiang Feng
Publikováno v:
Neurocomputing. 149:29-38
The neural network ensemble (NNE) is a very effective way to obtain a good prediction performance by combining the outputs of several independently trained neural networks. Swarm intelligence is applied here to model the population of interacting age
Autor:
Min Tan, Maoyong Cao, Fang Wei, Zeng-Shun Zhao, Zeng-Guang Hou, Shi-Ku Wang, Tong-Lu Xiao, Yan-yan Lin, Xiang Feng
Publikováno v:
J. Appl. Math.
Journal of Applied Mathematics, Vol 2013 (2013)
Journal of Applied Mathematics, Vol 2013 (2013)
The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate. By doing so, RBPF coul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19e71cc8f0c325d93249c1c365ce8440
https://projecteuclid.org/euclid.jam/1394808109
https://projecteuclid.org/euclid.jam/1394808109