A new neuron model "cone" with fast convergence rate and its application to pattern recognition. - Minoru Fukumi; Sigeru Omatu 001; Masaru Teranishi (Syst. Comput. Jpn., 1991)

New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (ICONIP, 1998)

New and used bills classification for cepstrum patterns. - Masaru Teranishi; Sigeru Omato; Toshihisa Kosaka (IJCNN, 1999)

Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (IJCNN (6), 2000)

Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (ICANN, 2002)

Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (HIS, 2008)

Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (CSTST, 2008)

Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM. - Masaru Teranishi; Sigeru Omatu 001; Toshihisa Kosaka (Artif. Life Robotics, 2009)

Stable Learning for Neural Network Tomography by Using Back Projected Image. - Masaru Teranishi; Keita Oka; Masahiro Aramoto (DCAI, 2014)

Personal peculiarity classification of flat finishing tool motion by using self-organizing maps for skill training. - Masaru Teranishi; Shinpei Matsumoto; Hidetoshi Takeno (ASCC, 2015)

Image restoration of confocal microscopy based on deconvolution algorithms for biological structure. - Isao Yamashita; Masaru Teranishi; Michifumi Yoshioka; Takashi Murayama; Yoshitaka Kimori (ASCC, 2015)

Personal Peculiarity Classification of Flat Finishing Motion for Skill Training by Using Expanding Self-Organizing Maps. - Masaru Teranishi; Shinpei Matsumoto; Nobuto Fujimoto; Hidetoshi Takeno (DCAI, 2016)

A brush coating skill training system for manufacturing education at Japanese elementary and junior high schools. - Shimpei Matsumoto; Nobuto Fujimoto; Masaru Teranishi; Hidetoshi Takeno; Tatsushi Tokuyasu (Artif. Life Robotics, 2016)

Improved neural network tomography by initial learning with coarse reconstructed image. - Masaru Teranishi (Neurocomputing, 2016)

Personal Peculiarity Classification of Flat Finishing Skill Training by using Torus type Self-Organizing Maps. - Masaru Teranishi; Shinpei Matsumoto; Nobuto Fujimoto; Hidetoshi Takeno (DCAI, 2017)

Flat Finishing Skill Training Software System Based on Personal Peculiarity Classification. - Masaru Teranishi; Shinpei Matsumoto; Hidetoshi Takeno (SoMeT, 2017)

Examining efficient instructional methods for computer-aided brush coating skill training system in elementary and secondary education. - Nobuto Fujimoto; Shimpei Matsumoto; Masaru Teranishi; Hidetoshi Takeno; Tatsushi Tokuyasu (Artif. Life Robotics, 2017)

Blur Restoration of Confocal Microscopy with Depth and Horizontal Dependent PSF. - Yuichi Morioka; Katsufumi Inoue; Michifumi Yoshioka; Masaru Teranishi; Takashi Murayama (DCAI (Special Sessions), 2018)

Peculiarity Classification of Flat Finishing Motion Based on Tool Trajectory by Using Self-organizing Maps. - Masaru Teranishi; Shimpei Matsumoto; Hidetoshi Takeno (DCAI, 2018)

Development of Flat Finishing Skill Training System Based on Personal Peculiarity Classification of Tool Trajectory. - Masaru Teranishi; Shimpei Matsumoto; Hidetoshi Takeno (IIAI-AAI, 2018)

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 Density. - Masaru Teranishi; Shimpei Matsumoto; Hidetoshi Takeno (DCAI, 2019)

Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training. - Masaru Teranishi; Shimpei Matsumoto; Hidetoshi Takeno (ICANN (3), 2019)

Peculiarity Classification of Flat Finishing Skill Training by using Torus Type Self-Organizing Maps with Cluster Maps. - Masaru Teranishi; Shimpei Matsumoto; Hidetoshi Takeno (IIAI-AAI, 2019)