Presentation | 2007-03-16 Image Recognition System Based on Multistage Fuzzy Inference Neural Network Teruo TERAJIMA, Masafumi HAGIWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a new image recognition system that uses the multistage inference technique. The proposed system is composed of the network based on fuzzy inference neural network (FINN) that combined the merits of neural network and fuzzy system. More detailed recognition is enabled by combining the multistage inference with FINN. We have confirmed that we can obtain excellent results from experiments of image recognition intended for urban images and scenery images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image recognition / Neural network / Fuzzy inference |
Paper # | NC2006-201 |
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Conference Information | |
Committee | NC |
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Conference Date | 2007/3/9(1days) |
Place (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) | Image Recognition System Based on Multistage Fuzzy Inference Neural Network |
Sub Title (in English) | |
Keyword(1) | Image recognition |
Keyword(2) | Neural network |
Keyword(3) | Fuzzy inference |
1st Author's Name | Teruo TERAJIMA |
1st Author's Affiliation | Faculty of Science and Technology, Keio University() |
2nd Author's Name | Masafumi HAGIWARA |
2nd Author's Affiliation | Faculty of Science and Technology, Keio University |
Date | 2007-03-16 |
Paper # | NC2006-201 |
Volume (vol) | vol.106 |
Number (no) | 590 |
Page | pp.pp.- |
#Pages | 6 |
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