Improvement against noises in self-organizing logic circuit

Chyon Hae Kim, Jyun Ichi Idesawa, Shigeki Sugano, Tetsuya Ogata

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We proposed and evaluated a network learning method called self-organizing network elements (SONE). Autonomous exploration of effective output, the use of simple external parameters, and low calculation costs were functions achieved for a robot system with this method. However, there is the need to improve performance against noises for learning more complicated tasks. Therefore, we propose a technique to adjust thresholds in a self-organizing logic circuit based on SONE. In our experiments, performing 3-bit operation tasks, controlling a Khepera robot, and generating new elements was appropriately controlled with this technique. Also, network performance against noises was improved as a result of using the proposed method.

    Original languageEnglish
    Title of host publicationProceedings of IEEE ICIA 2006 - 2006 IEEE International Conference on Information Acquisition
    Pages53-58
    Number of pages6
    DOIs
    Publication statusPublished - 2006
    Event2006 IEEE International Conference on Information Acquisition, ICIA 2006 - Weihai, Shandong
    Duration: 2006 Aug 202006 Aug 23

    Other

    Other2006 IEEE International Conference on Information Acquisition, ICIA 2006
    CityWeihai, Shandong
    Period06/8/2006/8/23

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    ASJC Scopus subject areas

    • Information Systems
    • Information Systems and Management
    • Control and Systems Engineering

    Cite this

    Kim, C. H., Idesawa, J. I., Sugano, S., & Ogata, T. (2006). Improvement against noises in self-organizing logic circuit. In Proceedings of IEEE ICIA 2006 - 2006 IEEE International Conference on Information Acquisition (pp. 53-58). [4097724] https://doi.org/10.1109/ICIA.2006.305791