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Results 1-6 of 6 (Search time: 0.007 seconds).
| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Memory-based Realization of Task Intelligence for Robots in Human Environment Yoo, Yong-Ho; Kim, Deok Hwa; Park, Gyeong-Moon; Jeong, Inbae; Baek, Seung-Hwan; Ryu, Si Jung; Kim, Jong-Hwan, International Conference on Intelligent Robots and Systems, IEEE Robotics and Automation Society (RAS), 2016-10-13 | |
| Deep Adaptive Resonance Theory for Learning Biologically Inspired Episodic Memory Park, Gyeong-Moon; Kim, Jong-Hwan, 2016 IEEE World Congress on Computational Intelligence , pp.5174 - 5180, IEEE Computational Intelligence Society (IEEE CIS), 2016-07-27 | |
| Context preference-based deep adaptive resonance theory: Integrating user preferences into episodic memory encoding and retrieval Sigmund, Dick; Park, Gyeong-Moon; Kim, Jong-Hwan, Neural Networks (IJCNN), 2017 International Joint Conference on, IEEE, 2017-05-14 | |
| Falling Prevention System from External Disturbances for Humanoid Robots Park, Gyeong-Moon; Baek, Seung-Hwan; Kim, Jong-Hwan, The 3rd International Conference on Robot Intelligence Technology and Applications (RiTA) 2014, Korea Robot Soccer Association (KRSA), 2014-11-06 | |
| Multi-channel Classification Resonance Network Kim, Joonhyuk; Park, Gyeong-Moon; Kim, Jong-Hwan, 7th International Conference on Robot Intelligence Technology and Applications, RiTA 2019, pp.12 - 19, Institute of Electrical and Electronics Engineers Inc., 2019-11 | |
| Biologically-Inspired Episodic Memory Model Considering the Context Information Park, Gyeong-Moon; Cho, Sanghyun; Kim, Jong-Hwan, IEEE International Conference on Systems, Man, and Cybernetics, IEEE Systems, Man, and Cybernetics Society, 2016-10-09 |
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