Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Takayuki Oohira"'
Publikováno v:
Artificial Life and Robotics. 9:128-134
Model-based learning systems such as neural networks usually “forget” learned skills due to incremental learning of new instances. This is because the modification of a parameter interferes with old memories. Therefore, to avoid forgetting, incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbae7489ea4c4ccaa4c196ab5ab1f7c7
https://doi.org/10.1007/s10015-004-0325-5
https://doi.org/10.1007/s10015-004-0325-5
Autor:
Nobuhide Masawa, Jun Namiki, Shuzo Sato, Yoshinori Shimamoto, Takayuki Oohira, Kazuta Yunoki, Terutoshi Nakamigawa, Naoki Ishihara, Itsuo Shiga, Shuichi Takayama
Publikováno v:
Surgery for Cerebral Stroke. 18:184-188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a834f670a01988ae1e54a304a490867
https://doi.org/10.2335/scs1987.18.2_184
https://doi.org/10.2335/scs1987.18.2_184
Publikováno v:
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 ISBN: 9783540404088
ICANN
ICANN
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances to avoid this problem. However, the re-learning process wastes substa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb14ff8235b69b4411e5dd6658a0de7c
https://doi.org/10.1007/3-540-44989-2_20
https://doi.org/10.1007/3-540-44989-2_20
Autor:
Kazuta Yunoki, Shigeo Toya, Naoki Ishihara, Shuzo Sato, Terutoshi Nakamigawa, Hideichi Takayama, Takayuki Oohira
Publikováno v:
Hydrocephalus ISBN: 9784431681588
Various operations have been reported for hydrocephalus. Even if these operations consist of minor surgery, general anesthesia or laparotomy is required. To avoiding this complicated type of procedure, we developed a peritoneal and a long subcutaneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fed4cf23f2dc309ccd5466f02ebf4a7
https://doi.org/10.1007/978-4-431-68156-4_43
https://doi.org/10.1007/978-4-431-68156-4_43