| Presentation | 1998/2/5 An Application of Discrete Walsh Transform to Cellular Neural Networks for Associative Memory Takeshi KAMIO, Hideki ASAI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Cellular Neural Networks (CNNs)work as associative memories when the memory patterns correspond to the asymptotically stable equilibrium points of the network dynamics. However if the memory patterns include more than two similar ones, CNNs based on the conventional synthesis procedure generates frequently the cell with only selffeedback from these patterns. As the outputs of such the cells are determined by only their initial values, CNN fails to associate the desired memory pattern. This report describes the discrete-time CNN (DTCNN)for associative memory using 2-dimensional discrete Walsh transform to overcome this problem. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cellular Neural Networks / Discrete Walsh Transform / Associative Memory / Indefinite Cell |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1998/2/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Application of Discrete Walsh Transform to Cellular Neural Networks for Associative Memory |
| Sub Title (in English) | |
| Keyword(1) | Cellular Neural Networks |
| Keyword(2) | Discrete Walsh Transform |
| Keyword(3) | Associative Memory |
| Keyword(4) | Indefinite Cell |
| 1st Author's Name | Takeshi KAMIO |
| 1st Author's Affiliation | Department of Systems Eng., Faculty of Engineering, Shizuoka University() |
| 2nd Author's Name | Hideki ASAI |
| 2nd Author's Affiliation | Department of Systems Eng., Faculty of Engineering, Shizuoka University |
| Date | 1998/2/5 |
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| Volume (vol) | vol.97 |
| Number (no) | 530 |
| Page | pp.pp.- |
| #Pages | 8 |
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