Miyajima Hiromi | The Faculty Of Engineering Kagoshima University

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概要

• MIYAJIMA Hiromiの詳細を見る
• 同名の論文著者
• The Faculty Of Engineering Kagoshima Universityの論文著者

関連著者

• Miyajima Hiromi

  The Faculty Of Engineering Kagoshima University

• MIYAJIMA Hiromi

  the Faculty of Engineering, Kagoshima University

• MAEDA Michiharu

  the Department of Control & Information Systems Engineering at Kurume National College of Technology

• KISHIDA Kazuya

  the Faculty of Engineering, Kagoshima University

• Maeda Michiharu

  The Faculty Of Engineering Kagoshima University

• Kishida Kazuya

  The Faculty Of Engineering Kagoshima University

• Fukumoto Shinya

  Faculty Of Engineering Kagoshima University

• KISHIDA Kazuya

  Department of Electronic Control Engineering, Kagoshima National College of Technology

• FUKUMOTO Shinya

  the Faculty of Engineering, Kagoshima University

• NAGASAWA Yoji

  the Faculty of Engineering, Kagoshima University

• Maeda M

  Department Of Computer Science And Engineering Faculty Of Information Engineering Fukuoka Institute

• MIYAJIMA Hiromi

  Department of Electrical and Electronics Engineering, Faculty of Engineering, Kagoshima University

• Maeda Michiharu

  The Department Of Control And Information Systems Engineering Kurume National College Of Technology

• Nagasawa Yoji

  The Faculty Of Engineering Kagoshima University

• Murashima Sadayuki

  The Faculty Of Engineering Kagoshima University

• Kishida K

  Department Of Electronic Control Engineering Kagoshima National College Of Technology

• Maeda Michiharu

  The Department Of Control & Information Systems Engineering At Kurume National College Of Techno

• Yatsuki Shuji

  The Faculty Of Engineering Kagoshima University

• Miyajima H

  Department Of Electrical And Electronics Engineering Faculty Of Engineering Kagoshima University

• MAEDA Michiharu

  the Faculty of Engineering,Kagoshima University

• MIYAJIMA Hiromi

  the Faculty of Engineering,Kagoshima University

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著作論文

• An Investigation of Fuzzy Model Using AIC
• Destructive Fuzzy Modeling Using Neural Gas Network
• Competitive Learning Algorithms Founded on Adaptivity and Sensitivity Deletion Methods
• Some Characteristics of Higher Order Neural Networks with Decreasing Energy Functions (Special Section on Nonlinear Theory and its Applications)
• An Adaptive Learning and Self-Deleting Neural Network for Vector Quantization
• Adaptation Strength According to Neighborhood Ranking of Self-Organizing Neural Networks(Nonlinear Theory and Its Applications)

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