村田 純一

研究成果

年別の研究成果 1984 1998 1999 2000 2001 2002 2003 2013 2014 2015 2022

• 89 学術誌
• 60 会議への寄与
• 25 学会誌
• 16 会議記事
• 3 その他
  • 3 章

年別の研究成果

年別の研究成果

検索結果

• 2010

  Analysis and improvement of function approximation capabilities of pi-sigma higher order neural networks

  Murata, J., 2010, Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications. IGI Global, p. 239-254 16 p.

  研究成果: 書籍/レポート タイプへの寄稿 › 章

  • Neural Network 100%
  • Function Approximation 80%
  • Networks 20%
  • Structural Feature 20%
  4 被引用数 (Scopus)
• 2004

  Behavior learning of autonomous agents in continuous state using function approximation

  Shon, M. K. & Murata, J., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Negoita, M. G., Howlett, R. J. & Jain, L. C. (eds.). Springer Verlag, p. 1213-1219 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3213).

  研究成果: 書籍/レポート タイプへの寄稿 › 章

  • State Space 100%
  • Learning 100%
  • Vector Quantization 50%
  • Function Approximation 50%
  • Autonomous Agent 50%

• Coordination in multiagent reinforcement learning systems

  Kamal, M. A. S. & Murata, J., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Negoita, M. G., Howlett, R. J. & Jain, L. C. (eds.). Springer Verlag, p. 1197-1204 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3213).

  研究成果: 書籍/レポート タイプへの寄稿 › 章

  • Reinforcement Learning 100%
  • Learning Method 50%
  • Immediates 50%
  • Heuristic Method 50%
  • Multi Agent Systems 50%
  2 被引用数 (Scopus)