Presentation | 1999/3/19 A Neural Network for Four-term Analogy based on Area Representation Kenji MIZOGUCHI, Masafumi HAGIWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this report, we propose a neural network for four-term analogy based on area representation. It can deal with four-term analogy such as"teacher:student=doctor:?". The proposed network has three map layers and an input layer. In the network, area representation method based on Kohonen Feature Map is employed in order to represent knowledge, so that similar concepts are mapped in nearer area in the map layer. The proposed mechanism in the map layer can realize the movement of the excited area to the near area. we carried out the computer simulation and confirmed the followings: (1)similar concepts are mapped in the nearer area in the map layer; (2)the excited area moves among simliar concepts; (3)the proposed network realizes four-term analogy and (4)the network is robust for the lack of connections. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | area representation / four-term analogy / Kohonen self-organizing feature map |
Paper # | NC98-159 |
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Committee | NC |
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Conference Date | 1999/3/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | A Neural Network for Four-term Analogy based on Area Representation |
Sub Title (in English) | |
Keyword(1) | area representation |
Keyword(2) | four-term analogy |
Keyword(3) | Kohonen self-organizing feature map |
1st Author's Name | Kenji MIZOGUCHI |
1st Author's Affiliation | Department of Electrical Engineering, Faculty of Science and Technology, Keio University() |
2nd Author's Name | Masafumi HAGIWARA |
2nd Author's Affiliation | Department of Electrical Engineering, Faculty of Science and Technology, Keio University |
Date | 1999/3/19 |
Paper # | NC98-159 |
Volume (vol) | vol.98 |
Number (no) | 674 |
Page | pp.pp.- |
#Pages | 8 |
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