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pro vyhledávání: '"Kao-Chi Lin"'
Autor:
Kao-Chi Lin, 林高吉
95
This dissertation mainly investigates feature extraction and application via self-organizing map (SOM) neural network with operating preprocess. Adopting SOM neural network for given samples, we can obtain a geometric map of the trained neuro
This dissertation mainly investigates feature extraction and application via self-organizing map (SOM) neural network with operating preprocess. Adopting SOM neural network for given samples, we can obtain a geometric map of the trained neuro
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/61960300601010668325
Publikováno v:
2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aef5ffcfc9131838c8f59bed6f96044
https://doi.org/10.1109/snpd51163.2021.9704929
https://doi.org/10.1109/snpd51163.2021.9704929
Autor:
Pin-Yu Yeh, Yi-An Wei, Young-Chou Hsu, Chin Pao Cheng, Hsin-Yi Peng, Kao-Chi Lin, Chan-Shan Yang
Publikováno v:
Optical Materials Express. 12:22
With the rapid development of terahertz (THz) technology comes the need to further explore the prospects for various applications of THz systems. Due to the strong need, components and equipment involving the exploration are indispensable. In order t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b32c9fc779ba72203a82239b337d3889
https://doi.org/10.1364/ome.442626
https://doi.org/10.1364/ome.442626