Zobrazeno 1 - 5
of 5
pro vyhledávání: '"ASANO, Miyoko"'
Autor:
Sasayama, Yumi, Hasegawa, Maki, Taguchi, Eri, Kubota, Kohei, Kuboyama, Takeshi, Naoi, Tomoyuki, Yabuuchi, Hayato, Shimai, Norie, Asano, Miyoko, Tokunaga, Akihiro, Ishii, Toshihiko, Enokizono, Junichi ⁎
Publikováno v:
In Journal of Controlled Release October 2019 311-312:245-256
Publikováno v:
Applied Stochastic Models in Business & Industry. Jul-Sep2002, Vol. 18 Issue 3, p189-195. 7p.
Publikováno v:
大東文化大学紀要. 社会科学. 46:A1-A11
This paper demonstrates the process of using the Web-Based Approach to Neural Networks and Liner Regression by working through the British TPI model. The Hybrid Approach to Neural networks and Linear Regression was proposed in 2003 as a solution to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::4737fc6d78e4b073845161dc7eb08cb3
http://opac.daito.ac.jp/repo/repository/daito/90/
http://opac.daito.ac.jp/repo/repository/daito/90/
Autor:
ASANO, Miyoko, TU, Marco K.W.
Publikováno v:
大東文化大学紀要. 社会科学. 45:A1-A13
This paper introduces the hybrid approach of neural networks and linear regression model proposed by Asano and Tsubaki (2003). Neural networks are often credited with its superiority in data consistency whereas the linear regression model provides si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::9bc82bbf25c87fb6f2b138b075af75e1
http://opac.daito.ac.jp/repo/repository/daito/62/
http://opac.daito.ac.jp/repo/repository/daito/62/
