自己組織化回路素子ＳＯＮＥにおけるノイズの抑制

DOI Web Site 参考文献12件

書誌事項

タイトル別名
  • Restraining of Noises in Self-Organizing Network Elements
  • ジコ ソシキカ カイロ ソシ SONE ニ オケル ノイズ ノ ヨクセイ

この論文をさがす

抄録

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.

収録刊行物

参考文献 (12)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ