Presentation | 2004/1/19 A study for Hardware Implementation of the Neocognitron-type Image Sequence Recognition Model (Neurocomputing) Kaname KIMURA, Sei TAKAHASHI, Hideo NAKAMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have proposed the Neocognitron-type neural network model for discriminating image sequence, and showed the effectiveness of the proposal model by software simulation with data of image sequence. The objective of this research is to speed up identification processing by implementing the proposal model to hardware with FPGA. We designed a hardware model of the cell-circuit, which extract features of an image sequence, and we evaluated it from the viewpoint of recognition accuracy, circuit scale, operation speed. As a result, we confirmed the effectiveness of implementing this model to hardware. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | neocognitron / FPGA / digital circuit / temporal pattern recognition |
Paper # | NC2003-111 |
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Committee | NC |
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Conference Date | 2004/1/19(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 study for Hardware Implementation of the Neocognitron-type Image Sequence Recognition Model (Neurocomputing) |
Sub Title (in English) | |
Keyword(1) | neocognitron |
Keyword(2) | FPGA |
Keyword(3) | digital circuit |
Keyword(4) | temporal pattern recognition |
1st Author's Name | Kaname KIMURA |
1st Author's Affiliation | Graduate School of Science and Technology, Nihon University() |
2nd Author's Name | Sei TAKAHASHI |
2nd Author's Affiliation | College of Science and Technology, Nihon University |
3rd Author's Name | Hideo NAKAMURA |
3rd Author's Affiliation | College of Science and Technology, Nihon University |
Date | 2004/1/19 |
Paper # | NC2003-111 |
Volume (vol) | vol.103 |
Number (no) | 601 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |