Function Approximation Using Selective Desensitization Neural Networks and its Applications
| Project/Area Number |
22300079
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 Tsukuba |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
TANAKA Fumihide 筑波大学, システム情報系, 准教授 (50512787)
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| Co-Investigator(Renkei-kenkyūsha) |
HASEGAWA Yasuhisa 筑波大学, システム情報系, 准教授 (70303675)
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| Project Period (FY) |
2010-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2013: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2011: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2010: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
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| Keywords | ニューラルネットワーク / 関数近似 / 筋電位 / 強化学習 / 選択的不感化ニューラルネット / 筋電位信号 / 教育支援 / 機械学習 / パターン認識 |
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| Research Abstract |
Selective desensitization neural networks (SDNNs) have superior ability of function approximation to existing methods. We performed studies on SDNNs and their applications to human support systems. As a result, we achieved better performance in electromyogram classification and reinforcement learning of a robot. We also developed support systems for child education and communication using robot and human interface technologies.
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Report
(5 results)
Research Products
(48 results)
