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pro vyhledávání: '"Mehemmed Emre Celebi"'
Publikováno v:
IEEE Signal Processing Letters. 27:111-115
A wavelet network (WN) is a feed-forward neural network that uses wavelets as activation functions for the neurons in its hidden layer. By predetermining the wavelet positions and dilations, the WN can turn into a linear regression model. The common
Autor:
FANG, RUOGU1 (AUTHOR) rfang@cs.fiu.edu, POUYANFAR, SAMIRA1 (AUTHOR) spouy001@cs.fiu.edu, YANG, YIMIN1 (AUTHOR) yyang010@cs.fiu.edu, CHEN, SHU-CHING1 (AUTHOR) chens@cs.fiu.edu, IYENGAR, S. S.1 (AUTHOR) iyengar@cs.fiu.edu
Publikováno v:
ACM Computing Surveys. Jul2016, Vol. 49 Issue 1, p12:1-12:36. 36p.
Publikováno v:
IEEE Signal Processing Letters; Jan2020, Vol. 27, p111-115, 5p
Autor:
Im, Sanghyuk1 (AUTHOR) imshns@hanmail.net, Hyeon, Jonghwan2 (AUTHOR) jonghwanhyeon@kaist.ac.kr, Rha, Eunyoung3 (AUTHOR) reyrha@catholic.ac.kr, Lee, Janghyeon2 (AUTHOR) janghyeon5@gmail.com, Choi, Ho-Jin2 (AUTHOR) hojinc@kaist.ac.kr, Jung, Yuchae2 (AUTHOR) ycjung7@kaist.ac.kr, Kim, Tae-Jung4 (AUTHOR) kimecho@catholic.ac.kr, Smolka, Bogdan (AUTHOR), Celebi, Mehemmed Emre (AUTHOR), Horiuchi, Takahiko (AUTHOR), Ciocca, Gianluigi (AUTHOR)
Publikováno v:
Sensors (14248220). May2021, Vol. 21 Issue 10, p3500-3500. 1p.
Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and