Restraining of Noises in Self-Organizing Network Elements
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- Kim Chyon Hae
- The Deparment of Mechanical Engineering Waseda University
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- Idesawa Jun-ichi
- The Deparment of Mechanical Engineering Waseda University
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- Ogata Tetsuya
- The Department of Intelligence Science and Technology Kyoto University
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- Sugano Shigeki
- The Deparment of Mechanical Engineering Waseda University
Bibliographic Information
- Other Title
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- 自己組織化回路素子SONEにおけるノイズの抑制
- ジコ ソシキカ カイロ ソシ SONE ニ オケル ノイズ ノ ヨクセイ
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Abstract
In the recent years, neural networks or other learing networks are frequently used in the field of robotics. However, the needed conditions of the learning system are not fulfilled enough in autonomous robot, because the variety of the needed conditions let it difficult to accomplish. So, integration of the functions is inevitable to create an effective learning system in autonomous robot. In traditional methods, it was difficult to accomplish “autonomous exploration of the effective output”, “simple external parameters”, and “low calculation cost” together in a learning system. Thus, we proposed a new learning method self-organizing network elements (SONE) against this problem. All of these conditions are fulfilled by SONE, however there is a need to enhance the ability against noises. Therefore, we propose a technique to restrain noises in SONE. In our experiments, more resistance against noises was confirmed with this technique. Also in a robot simulation, the performance of the robot was improved by this novel method.
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 25 (6), 913-920, 2007
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390001204726766464
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- NII Article ID
- 10019859562
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 8938969
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed