Bibliographic Information
- Other Title
-
- 誤差逆伝播ネットワークによる重ね書き記憶
Search this article
Abstract
application/pdf
We propose a novel neural network for incremental learning tasks where networks are required to learn new knowledge without forgetting the old one. An essential core of the proposed neural learning structure is a transferring scheme from short-term memory (STM) into long-term memory (LTM) as in brains by using dynamic changing weights. As the number of LTMs increases, a new network structure is superimposed on the previous one without disturbing the past LTMs by introducing a lateral inhibition mechanism. Superiority of the proposed neural structure to the conventional backpropagation networks is proven with respect to the learning ability.
紀要類(bulletin)
671882 bytes
Journal
-
- 東北大学医療技術短期大学部紀要 = Bulletin of College of Medical Sciences, Tohoku University
-
東北大学医療技術短期大学部紀要 = Bulletin of College of Medical Sciences, Tohoku University 12 (2), 111-120, 2003-07-31
東北大学医療技術短期大学部
- Tweet
Details 詳細情報について
-
- CRID
- 1050282677703639552
-
- NII Article ID
- 120000778536
- 110000964034
-
- NII Book ID
- AN1037430X
-
- ISSN
- 09174435
-
- HANDLE
- 10097/33818
-
- NDL BIB ID
- 6666129
-
- Text Lang
- en
-
- Article Type
- departmental bulletin paper
-
- Data Source
-
- IRDB
- NDL
- CiNii Articles