Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Weitao Du"'
Autor:
Shiqi Gong, Qi Meng, Jue Zhang, Huilin Qu, Congqiao Li, Sitian Qian, Weitao Du, Zhi-Ming Ma, Tie-Yan Liu
Publikováno v:
Journal of High Energy Physics, Vol 2022, Iss 7, Pp 1-22 (2022)
Abstract Deep learning methods have been increasingly adopted to study jets in particle physics. Since symmetry-preserving behavior has been shown to be an important factor for improving the performance of deep learning in many applications, Lorentz
Externí odkaz:
https://doaj.org/article/f026b1ae0d38404d83cf7a321ab4ae8f
Publikováno v:
The Journal of Engineering (2020)
Wheeled skid-steered vehicles have the advantages of compact structure, small steering radius and wide application. However, poor steering performance is an important limitation restricting the development of wheeled skid-steered vehicles. A kinemati
Externí odkaz:
https://doaj.org/article/5f17c4a9ba324470ab9d2daa6ea8f56e
Publikováno v:
IEEE Access, Vol 6, Pp 23292-23302 (2018)
A pair of matched filters whose cascade response satisfies the Nyquist criterion can guarantee the inter-symbol interference (ISI)-free transmission for band-limited communication systems. For a linear phase finite impulse response square root Nyquis
Externí odkaz:
https://doaj.org/article/78a07ec010634873884bcb68b55916b3
Publikováno v:
Journal of Manufacturing Processes. 96:110-124
Autor:
Weitao Du, Elton P. Hsu
Publikováno v:
Communications in Mathematics and Statistics.
Publikováno v:
The Journal of Engineering (2020)
Wheeled skid-steered vehicles have the advantages of compact structure, small steering radius and wide application. However, poor steering performance is an important limitation restricting the development of wheeled skid-steered vehicles. A kinemati
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9789811946714
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fea92fbebce7e7b94bd3bd2b234870a6
https://doi.org/10.1007/978-981-19-4672-1_18
https://doi.org/10.1007/978-981-19-4672-1_18
Publikováno v:
IJCAI
Scopus-Elsevier
Scopus-Elsevier
The prevailing thinking is that orthogonal weights are crucial to enforcing dynamical isometry and speeding up training. The increase in learning speed that results from orthogonal initialization in linear networks has been well-proven. However, whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0bf5096cd0e29c0756edd2cb185b856
https://hdl.handle.net/10453/158656
https://hdl.handle.net/10453/158656
Publikováno v:
Computers and Electronics in Agriculture. 199:107173
Publikováno v:
Journal of Materials Processing Technology. 306:117642