| Project/Area Number |
20500211
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | University of Hyogo |
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Principal Investigator |
MATSUI NOBUYUKI University of Hyogo, 大学院・工学研究科, 教授 (10173783)
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| Co-Investigator(Kenkyū-buntansha) |
ISOKAWA Teijiro 兵庫県立大学, 大学院・工学研究科, 准教授 (70336832)
NISHIMURA Haruhiko 兵庫県立大学, 大学院・応用情報科学研究科, 教授 (40218201)
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| Co-Investigator(Renkei-kenkyūsha) |
KAMIURA Naotake 兵庫県立大学, 大学院・工学研究科, 准教授 (80275312)
MORIHIRO Koichiro 兵庫教育大学, 学校教育研究科, 准教授 (40263412)
PEPER Ferdinand 情報通信研究機構, 基礎先端部門, 主任研究員 (40359097)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2008: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | ニューラルネットワーク / 複素数値ニューラルネットワーク / ノイズ / 確率共鳴 / 群行動 / 創造知 / 四元数 / 複素数値シナジェティックコンピュータ / 量子進化アルゴリズム / 複雑ネットワーク / 量子描像記述 / 群知能 / シマリング / 四元数ニューラルネットワーク / 量子ビットニューラルネットワーク |
|---|
| Research Abstract |
In order to achieve the hyper-creative intelligence in technology, we have developed the neural networks based on noise-delayed mechanism, investigating their hyper-complex valued versions and quantum-like descriptions. By doing so, we have proposed the complex-valued stochastic resonance neural network models and qubit circuit ones, which are both appropriate for describing the hyper-creative. We have also found that these models are applicable to intelligent image processing systems.
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