The following publications are possibly variants of this publication:
- Flat Finishing Skill Training Software System Based on Personal Peculiarity ClassificationMasaru Teranishi, Shinpei Matsumoto, Hidetoshi Takeno. somet 2017: 65-72 [doi]
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- Personal Peculiarity Classification of Flat Finishing Motion for Skill Training by Using Expanding Self-Organizing MapsMasaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno. dcai 2016: 137-145 [doi]
- Personal Peculiarity Classification of Flat Finishing Skill Training by using Torus type Self-Organizing MapsMasaru Teranishi, Shinpei Matsumoto, Nobuto Fujimoto, Hidetoshi Takeno. dcai 2018: 231-238 [doi]
- Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing MapsMasaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno. dcai 2019: 78-85 [doi]
- Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill TrainingMasaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno. icann 2019: 510-522 [doi]
- Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster MapsMasaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno. iiaiaai 2019: 775-780 [doi]
- Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps Part 2: Improvement of Clustering Performance Based on Codebook Vector DensityMasaru Teranishi, Shimpei Matsumoto, Hidetoshi Takeno. dcai 2020: 116-124 [doi]