Improvement against Noises in Self-Organizing Logic Circuit
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.
Chyon Hae KIM Jyun-ichi IDESAWA Shigeki SUGANO Tetsuya OGATA
Department of Mechanical Engineering Waseda University 3-4-1, Okubo, Shinjuku-ku Tokyo 169-8555, Jap Graduate School of Informatics Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto 606-8501, Japan
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
53-58
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）