Improvement against noises in self-organizing logic circuit

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

Research output: Contribution to conferencePaperpeer-review


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
Number of pages6
Publication statusPublished - 2006
Event2006 IEEE International Conference on Information Acquisition, ICIA 2006 - Weihai, Shandong, China
Duration: 2006 Aug 202006 Aug 23


Conference2006 IEEE International Conference on Information Acquisition, ICIA 2006
CityWeihai, Shandong

ASJC Scopus subject areas

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


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