Neural Cognitive Maps (NCMs)
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- Obata Takanobu
- Keio University
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- Hagiwara Masafumi
- Keio University
Bibliographic Information
- Other Title
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- ニューラル認知マップ
- ニューラル ニンチ マップ
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Abstract
In this paper, we propose novel Cognitive Maps using neural networks named Neural Cognitive Maps (NCMs). Owing to the usage of neural networks, the abilities of prediction and modeling of NCMs are greatly improved compared with those of the conventional FCMs. In order to treat time series inputs effectively, each network receives the latest and the past outputs from all of the networks and is trained by backpropagation algorithm. In addition, a novel pruning method is employed to eliminate useless nodes and weights in each neural network. The pruning has two important effects: one is to improve the performance of the neural network; the other is to give useful information for users to estimate causal relation from the pruned neural network. Computer simulation results indicate the validity and effectiveness of the proposed NCMs.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 118 (6), 882-888, 1998
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204608327040
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- NII Article ID
- 10002814161
- 130006844081
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4492061
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed