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Study of Modeling and Intelligent Control of Complex Systems Using Learning Networks

Research Project

Project/Area Number 09450171
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field 計測・制御工学
Research InstitutionKyushu University

Principal Investigator

HIRASAWA Kotaro  Information Science and Electrical Engineering, Kyushu University, Professor, 大学院・システム情報科学研究科, 教授 (70253474)

Co-Investigator(Kenkyū-buntansha) OHBAYASI Masanao  Engineering, Kyushu University, Assistant Professor, 工学部, 助教授 (60213849)
MURATA Junichi  Information Science and Electrical Engineering, Kyushu University, Assistant Professor, 大学院・システム情報科学研究科, 助教授 (60190914)
胡 敬炉  九州大学, 大学院システム情報科学研究科, 助手 (50294905)
Project Period (FY) 1997 – 1999
Project Status Completed (Fiscal Year 1999)
Budget Amount *help
¥9,500,000 (Direct Cost: ¥9,500,000)
Fiscal Year 1999: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1998: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 1997: ¥6,200,000 (Direct Cost: ¥6,200,000)
KeywordsNeural Networks / Genetic Algorithm / Fuzzy / Universal Learning Networks / Higher Order Derivatives / Symbiosis / Robust Control / Chaos Control / モデル化 / 学習 / 確率 / 制御 / 安定性 / カオス / 集中化・多様化 / ネットワーク / 離散事象 / オートマトン / ゲート
Research Abstract

Since the first proposal of a neuron model by Mc Culloch and Pitts in the 1940's, especially after the revitalization of artificial neural networks in 1980's, a variety of neural networks have been devised and are now applied in many fields. The vast majority of neural networks in use are those networks whose parameters or weights are tuned by gradiant-based supervised learning. This category includes feedfoward networks or multilayer parceptrons, various types of recurrent neural networks, radial basis function networks, fuzzy neural networks, and some networks with special architectures, such as time delay neural networks. These networks seemingly have different architectures and are trained by distinguishable training algorithms. In essence, however, they can be unified in a single framework in regard to both their architectures and learning algorithms. Universal Learning Networks (ULN's) have been proposed, as the name indicates, to provide a universal framework for the class of neural networks and moreover to model and control complex systems because most of the general complex systems in the real world can be modeled by the networks whose nodes represent the processing elements, and the branch between the nodes can describe the relation among the processes. Unification of a variety of network architectures which can describe the complex systems and unification of their learning algorithms are an objective of ULN's. This provides a consistent viewpoint for the various kinds of networks.

Report

(4 results)
  • 1999 Annual Research Report   Final Research Report Summary
  • 1998 Annual Research Report
  • 1997 Annual Research Report
  • Research Products

    (28 results)

All Other

All Publications (28 results)

  • [Publications] 平澤 宏太郎、大林 正直、古賀 勝、村田 純一、楠見 尚弘: "一般化学習ネットワークの高次微分の計算理論"電気学会論文誌. Vol.115-C No.12. 1499-1506 (1995)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 平澤 宏太郎、大林 正直、古賀 勝: "フォワードプロパゲーション一般化学習ネットワーク理論"電気学会論文誌. Vol.116-C No.6. 692-698 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 古賀 勝、平澤 宏太郎、大林 正直、村田 純一: "一般化学習ネットワークにおけるカオス制御方式"計測自動制御学会論文集. Vol.32,No.6. 844-853 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 平澤 宏太郎、大林 正直、藤田 寛文、古賀 勝: "一般学習ネットワーク理論"電気学会論文誌. Vol.116-C No.7. 794-801 (1996)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 平澤 宏太郎、東郷 和幸、胡 敬炉、大林 正直、邵 寧、村田 純一: "ニューラルネットワークの適応的ランダム探索最適化手法-RasID-"計測自動制御学会論文集. Vol.34,No.8. 1088-1096 (1998)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 平澤 宏太郎、石川 靖剛、胡 敬炉、村田 純一: "遺伝的共生アルゴリズム"計測自動制御学会論文集. Vol.35,No.9. 1198-1206 (1999)

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] K. Hirasawa, J. Hu, M. Ohbayashi and J. Murata: "Computing Higher Order Derivatives in Universal Learning Networks"Journal of Advanced Computational Intelligence. Vol. 2, No. 2. 47-53 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] K. Hirasawa, J. Miswa, J. Hu, J. Murata,M. Ohbayashi and Y. Eki: "Chaos Universal Learning Networks Clustering Control"Journal of Robotics and Mechatronics. Vol. 10, No. 4. 305-310 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] J. Hu, K. Hirasawa and J. Murata]: "RasID-Random Search for Neural Network Training"Journal of Advanced Computational Intelligence. Vol. 2, No. 4. 134-141 (1998)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] K. Hirasawa, J. Murata, J. Hu and C. Jin: "Chaos Control on Universal Learning Networks"IEEE Transactions on System, Man and Cybernetics Part C. Vol. 30, No. 1. (2000)

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      1999 Final Research Report Summary
  • [Publications] 平澤 宏太郎、大林 正直、古賀 勝: "一般化学習ネットワークの高次微分の計算理論"電気学会論文誌. Vol.115-C No.12. 1499-1506 (1995)

    • Related Report
      1999 Annual Research Report
  • [Publications] 平澤 宏太郎、大林 正直、古賀 勝、村田 純一、楠見 尚弘: "フォワードプロパゲーション一般化学習ネットワーク理論"電気学会論文誌. Vol.116-C No.6. 692-698 (1996)

    • Related Report
      1999 Annual Research Report
  • [Publications] 古賀 勝、平澤 宏太郎、大林 正直、村田 純一: "一般化学習ネットワークにおけるカオス制御方式"計測自動制御学会論文集. Vol.32,No.6. 844-853 (1996)

    • Related Report
      1999 Annual Research Report
  • [Publications] 平澤 宏太郎、大林 正直、藤田 寛文、古賀 勝: "一般化学習ネットワーク理論"電気学会論文誌. Vol.116-C No.7. 794-801 (1996)

    • Related Report
      1999 Annual Research Report
  • [Publications] 平澤 宏太郎、東郷 和幸、胡 敬炉、大林 正直、邵 寧、村田 純一: "ニューラルネットワークの適応的ランダム探索最適化手法-RasID-"計測自動制御学会論文集. Vol.34,No.8. 1088-1096 (1998)

    • Related Report
      1999 Annual Research Report
  • [Publications] 平澤 宏太郎、石川 靖剛、胡 敬炉、村田 純一: "遺伝的共生アルゴリズム"計測自動制御学会論文集. Vol.35,No.9. 1198-1206 (1999)

    • Related Report
      1999 Annual Research Report
  • [Publications] Kotaro Hirasawa: "Learning Petri Network and Its Application to Nonlinear System Control" IEEE Transaction on System,Man,and Cybernetics. 28・6. 781-789 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] Jinglu Hu: "RasID-Random Search for Neural Network training" Journal of Advanced Computational Intelligence. 2・4. 134-141 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] Kotaro Hirasawa: "Chaos Universal Learning Network Clustering Control" Journal of Robotics and Mechatronics. 10・4. 305-310 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] Kotaro Hirasawa: "Computing Higher Order Derivatives in Universal Learning Networks" Journal of Advanced Computational Intelligence. 2・2. 47-53 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] 大林 正直: "ファジィ評価と2次微分を考慮した一般化学習ネットワークによるロバスト制御方式" 計測自動制御学会論文集. 34・9. 1246-1254 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] 村田 純一: "長・中・短期記憶を用いた発見的最適化法" 電気学会論文誌. 118-C・9. 1315-1321 (1998)

    • Related Report
      1998 Annual Research Report
  • [Publications] Masanao Ohbayashi: "Robust Control for System Parameter Perturbation Using Second Order Derivatives of Universal Learning Network" Trans.Society of Instrument and Control Engineers. 33・4. 289-295 (1997)

    • Related Report
      1997 Annual Research Report
  • [Publications] 池内 光雄: "オートマトン学習ネットワーク理論" 電気学会論文誌. 117C・8. 1069-1075 (1997)

    • Related Report
      1997 Annual Research Report
  • [Publications] Min Han: "Modeling Nonlinear Dynamic Systems Using Universal Learning Network with Filtering Mechanism" Trans.Institute of Electrical Engineers of Japan. 117C・9. 1259-1266 (1997)

    • Related Report
      1997 Annual Research Report
  • [Publications] Masanao Ohbayashi: "Universal Learning Network-Based Fuzzy Systems and Its Application to Nonlinear Control System" Trans Society of Instrument and Control Engineers. 33・9. 930-938 (1997)

    • Related Report
      1997 Annual Research Report
  • [Publications] 平澤 宏太郎: "確率一般化学習ネットワーク理論" 電気学会論文誌. 118C・2. 224-231 (1998)

    • Related Report
      1997 Annual Research Report
  • [Publications] 平澤 宏太郎: "確率分布・可能性分布を考慮したオートマン学習ネットワーク" 電気学会論文誌. 118D・3(印刷中). (1998)

    • Related Report
      1997 Annual Research Report

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Published: 1997-04-01   Modified: 2016-04-21  

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