Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sushen Zhang"'
Autor:
Bogdan Dorneanu, Sushen Zhang, Hang Ruan, Mohamed Heshmat, Ruijuan Chen, Vassilios S. Vassiliadis, Harvey Arellano-Garcia
Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integration of digital components with the actual physical units involved. This process can be thought of as addition of a central nervous system with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffb8d98f8236be8edb3ac74c1f40bf9f
https://www.repository.cam.ac.uk/handle/1810/344431
https://www.repository.cam.ac.uk/handle/1810/344431
Publikováno v:
IEEE Reviews in Biomedical Engineering. 12:194-208
With the recent advancements in analyzing high-volume, complex, and unstructured data, modern learning methods are playing an increasingly critical role in the field of personalized medicine. Personalized medicine (i.e., providing tailored medical tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70d44277635d935ddf793103fd8b043
https://doi.org/10.1109/rbme.2018.2864254
https://doi.org/10.1109/rbme.2018.2864254
Publikováno v:
Computers & Chemical Engineering. 141:107008
This paper presents a novel optimisation method, termed Hessian-free Gradient Flow, for the optimisation of deep neural networks. The algorithm entails the design characteristics of the Truncated Newton, Conjugate Gradient and Gradient Flow method. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85f25136b56726c124267535c307cf94
https://doi.org/10.1016/j.compchemeng.2020.107008
https://doi.org/10.1016/j.compchemeng.2020.107008