Effectiveness of the small world network in the morphological associative memory
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- Saeki Takashi
- Kyushu Institute of Technology
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- Miki Tsutomu
- Kyushu Institute of Technology
Bibliographic Information
- Other Title
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- 形態学的連想記憶におけるSmall-world Networkの有効性
Abstract
Ritter developed the morphological associative memory (MAM) which is able to achieve the perfect recall. The MAM is a powerful associative memory compared to an ordinary associative memory. However, the MAM needs the kernel image which is difficult to design. On the contrary, the associative memory with small-world network is known as effective network which is able to improve recall rate and reduce memory matrices compared to regular network. The small-world network is produced without difficulty so that the network is useful. We try to improve of the perfect recall rate and reduce the memory matrices using the small-world network.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 22 (0), 222-222, 2006
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282680644311168
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- NII Article ID
- 130004591355
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed