Presentation | 2004/6/18 Associative Memory Model to Acquire Procedural Knowledge Manabu GOUKO, Yoshihiro SUGAYA, Hirotomo ASO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Intelligent systems using conventional associative memory model learn the knowledge which is prepared in advance. Therefore they have poor adaptability to the environment different from what the knowledge assumes.In this study, we propose an associative memory model to acquire procedural knowledge sequentially from surroundings of the model. We carried out computer simulations and confirmed that the proposed model acquires procedural knowledge which is suitable for the environment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | associative memory model / procedural knowledge / neural network |
Paper # | NC2004-37 |
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Committee | NC |
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Conference Date | 2004/6/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Associative Memory Model to Acquire Procedural Knowledge |
Sub Title (in English) | |
Keyword(1) | associative memory model |
Keyword(2) | procedural knowledge |
Keyword(3) | neural network |
1st Author's Name | Manabu GOUKO |
1st Author's Affiliation | Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University() |
2nd Author's Name | Yoshihiro SUGAYA |
2nd Author's Affiliation | Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University |
3rd Author's Name | Hirotomo ASO |
3rd Author's Affiliation | Department of Electrical and Communication Engineering, Graduate School of Engineering, Tohoku University |
Date | 2004/6/18 |
Paper # | NC2004-37 |
Volume (vol) | vol.104 |
Number (no) | 140 |
Page | pp.pp.- |
#Pages | 6 |
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