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Yoshiki Uchikawa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xuhua Yang, Takeshi Furuhashi, Kenzo Obata, Yoshiki Uchikawa
    Constructing a High Performance Signature Verification System Using a GA Method. [Citation Graph (0, 0)][DBLP]
    ANNES, 1995, pp:170-173 [Conf]
  2. Toru Yukimatsu, Takeshi Furuhashi, Yoshiki Uchikawa
    A Fuzzy Expert System for Hierarchical Placement of Parts on Printed Circuit Board. [Citation Graph (0, 0)][DBLP]
    ANNES, 1995, pp:342-345 [Conf]
  3. Takeshi Furuhashi, Gaku Adachi, Yoshiki Uchikawa
    On Description of Dynamical Behavior of Fuzzy Control Systems and a Linguistic Design Method of Fuzzy Controllers. [Citation Graph (0, 0)][DBLP]
    ANNES, 1995, pp:160-165 [Conf]
  4. Tomonori Hashiyama, Takeshi Furuhashi, Yoshiki Uchikawa
    Design of Fuzzy Controllers for Semi-Active Suspension Generated through the Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ANNES, 1995, pp:166-169 [Conf]
  5. Peter Eggenberger, Akio Ishiguro, Seiji Tokura, Toshiyuki Kondo, Yoshiki Uchikawa
    Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach. [Citation Graph (0, 0)][DBLP]
    EWLR, 1999, pp:44-60 [Conf]
  6. Akio Ishiguro, Yuji Watanabe, Toshiyuki Kondo, Yoshiki Uchikawa
    Decentralized Consensus-Making Mechanisms Based on Immune System. Application to a Behavior Arbitration of an Autonomous Mobile Robot. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:82-87 [Conf]
  7. Seiichi Matsushita, A. Kuromiya, M. Yamaoka, Takeshi Furuhashi, Yoshiki Uchikawa
    Determination of Antecedent Structure for Fuzzy Modeling Using Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:235-238 [Conf]
  8. Koji Morikawa, Takeshi Furuhashi, Yoshiki Uchikawa
    Evolution of CIM System with Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1994, pp:746-749 [Conf]
  9. Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa
    Emergence of Effective Fuzzy Rules for Controlling Mobile Robots Using DNA Coding Method. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:581-586 [Conf]
  10. Takeshi Furuhashi, Ken Nakaoka, Koji Morikawa, Yoshiki Uchikawa
    Controlling Excessive Fuzziness in a Fuzzy Classifier System. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:635- [Conf]
  11. Yoshiaki Tanaka, Akio Ishiguro, Yoshiki Uchikawa
    A Genetic Algorithms' Application to Inverse Problems in Electromagnetics. [Citation Graph (0, 0)][DBLP]
    ICGA, 1993, pp:656- [Conf]
  12. Yasuharu Yamada, Akio Ishiguro, Yoshiki Uchikawa
    A Method of 3D Object Reconstruction by Fusing Vision with Touch Using Internal Models with Global and Local Deformations. [Citation Graph (0, 0)][DBLP]
    ICRA (2), 1993, pp:782-787 [Conf]
  13. Takeshi Furuhashi, Yujiro Miyata, Ken Nakaoka, Yoshiki Uchikawa
    A New Approach to Genetic Based Machine Learning and an Efficient Finding of Fuzzy Rules - Proposal of Nagoya Approach -. [Citation Graph (0, 0)][DBLP]
    IEEE/Nagoya-University World Wisepersons Workshop, 1994, pp:173-189 [Conf]
  14. Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa
    Acquisition of Fuzzy Rules from DNA Coding Method. [Citation Graph (0, 0)][DBLP]
    IEEE/Nagoya-University World Wisepersons Workshop, 1995, pp:73-88 [Conf]
  15. Akio Ishiguro, Toshiyuki Kondo, Yuji Watanabe, Yoshiki Uchikawa
    Immunoid: An Immunological Approach to Decentralized Behavoir Arbitration of Autonomous Mobile Robots. [Citation Graph (0, 0)][DBLP]
    PPSN, 1996, pp:666-675 [Conf]
  16. Seiichi Matsushita, Takeshi Furuhashi, Hiroaki Tsutsui, Yoshiki Uchikawa
    Selection of Input Variables of Fuzzy Model Using Genetic Algorithm with Quick Fuzzy Inference. [Citation Graph (0, 0)][DBLP]
    SEAL, 1996, pp:45-53 [Conf]
  17. Tomohiro Yoshikawa, Takeshi Furuhashi, Yoshiki Uchikawa
    Knowledge Acquisition of Fuzzy Control Rules for Mobile Robots Using DNA Coding Method and Pseudo-Bacterial GA. [Citation Graph (0, 0)][DBLP]
    SEAL, 1996, pp:126-135 [Conf]
  18. Kenji Yamamoto, Akio Ishiguro, Yoshiki Uchikawa
    A Development of Dynamic Deforming Algorithms for 3D Shape Modeling with Generation of Interactive Force Sensation. [Citation Graph (0, 0)][DBLP]
    VR, 1993, pp:505-511 [Conf]
  19. Shin-ichi Horikawa, Takeshi Furuhashi, Yoshiki Uchikawa
    A new type of fuzzy neural network based on a truth space approach for automatic acquisition of fuzzy rules with linguistic hedges. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1995, v:13, n:4, pp:249-268 [Journal]
  20. Takeshi Furuhashi, Yujiro Miyata, Yoshiki Uchikawa
    A New Approach to Genetic Based Machine Learning for Efficient Local Improvement and Its Application to a Graphic Problem. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1997, v:103, n:1-4, pp:87-100 [Journal]
  21. Seiichi Matsushita, Takeshi Furuhashi, Hiroaki Tsutsui, Yoshiki Uchikawa
    Efficient Search for Fuzzy Models using Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1998, v:110, n:1-2, pp:41-50 [Journal]

  22. Efficient fuzzy modeling and evaluation criteria. [Citation Graph (, )][DBLP]


  23. Multi-module network associating patterns and symbols with attention mechanism. [Citation Graph (, )][DBLP]


  24. A Wide-View VR System with Multi-Level Description and Rendering of 3D Scenes. [Citation Graph (, )][DBLP]


  25. Neural Networks Applied to Recognition of CCD Camera Images where a 3-Digit Number is Stamped on the Surface of Chip Resistors. [Citation Graph (, )][DBLP]


  26. Toward seamless transplantation from simulated to real worlds: a dynamically rearranging neural network approach. [Citation Graph (, )][DBLP]


  27. Emergent construction of a behavior arbitration mechanism based on the immune system. [Citation Graph (, )][DBLP]


  28. Gait control of hexapod walking robots using mutual-coupled immune networks. [Citation Graph (, )][DBLP]


  29. Discrete-time learning control for robotic manipulators. [Citation Graph (, )][DBLP]


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