Presentation | 1994/12/16 A construction of neural-net-based AI systems Manabu Kawata, Tadashi Ae, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We discuss how to construct a Neural-net-based AI System(NAI). One of solutions to acquire the knowledge for a database is to use a neural network.We specify the neural network to be a Winner-Take- All type,whose knowledge is localized to a single neuron such as in Kohonen Network.This is an advantage to an MLP neural network, and we propose an unsupervised learning method for knowledge representation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Knowledge representation / Knowledge acquisition / Neural network / LVQ / interaction / AI |
Paper # | NC94-59 |
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Conference Information | |
Committee | NC |
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Conference Date | 1994/12/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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 construction of neural-net-based AI systems |
Sub Title (in English) | |
Keyword(1) | Knowledge representation |
Keyword(2) | Knowledge acquisition |
Keyword(3) | Neural network |
Keyword(4) | LVQ |
Keyword(5) | interaction |
Keyword(6) | AI |
1st Author's Name | Manabu Kawata |
1st Author's Affiliation | Faculty of Engineering,Hiroshima University() |
2nd Author's Name | Tadashi Ae |
2nd Author's Affiliation | Faculty of Engineering,Hiroshima University |
Date | 1994/12/16 |
Paper # | NC94-59 |
Volume (vol) | vol.94 |
Number (no) | 417 |
Page | pp.pp.- |
#Pages | 8 |
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