書誌事項
- タイトル別名
-
- Probability and Possibility Automaton Learning Network
- カクリツ ブンプ カノウセイ ブンプ オ コウリョシタ オートマトン ガクシュ
この論文をさがす
説明
Universal Learning Network(ULN) which is a generalized Neural Network, can be used to model and control large scale complicated systems. But ULN can not be applied to discrete event systems. Therefore a discrete event oriented learning network which is called Automaton Learning Network(ALN) has been already proposed. ALN has the same structure as ULN has. In this paper. a generalized type of ALN named Probability Automaton Learning Network(PrALN) and Possibility Automaton Learning Network(PoALN) are presented in order to realize an ALN with non-deterministic nature. In the simulations with a relatively simple model, we studied the fundamental characteristics of PrALN and PoALN.
収録刊行物
-
- 電気学会論文誌D(産業応用部門誌)
-
電気学会論文誌D(産業応用部門誌) 118 (3), 291-299, 1998
一般社団法人 電気学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390001204659900288
-
- NII論文ID
- 10002726409
-
- NII書誌ID
- AN10012320
-
- ISSN
- 13488163
- 09136339
-
- NDL書誌ID
- 4413259
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可