2010 Fiscal Year Final Research Report
Neural Networks Based on Noise-delayed Mechanism towards Hyper-creative Intelligence
| 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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| 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 |
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| 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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Research Products
(51 results)
