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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2017-03-14
10:00		 Aomori Nebuta Museum Warasse Search Capability of DPSO with Dynamically Varying Gain-Parameter
Nobuaki Hashimoto, Masato Kaneko, Toshiya Iwai (Nihon Univ.) NLP2016-106		 Discrete Particle Swarm Optimization(DPSO) is a metaheuristics that is improved to apply PSO to the discrete optimizatio... [more] NLP2016-106
pp.1-6
NLP 2016-05-26
14:50		 Kochi Kochi Univ. Decreasing Gradient of Sigmoid Functions in Back Propagation of Feed-Forward Neural Netowork
Shinaburo Kittaka, Yoko Uwate, Nishio Yoshihumi (Tokushima Univ.) NLP2016-5		 Our study is about the learning method of feed-forward neural network. Generally, the method of improvingitslearningisfo... [more] NLP2016-5
pp.25-28
MBE 2015-09-24
13:00		 Niigata Nagaoka University of Technology Improvement of Cortical Dipole Imaging Based on Filtering Property Approximated by Sigmoid Function
Shintaro Takasawa, Junichi Hori (Niigata Univ.) MBE2015-25		 Cortical dipole imaging has been proposed as a method to visualize electroencephalogram (EEG) in high spatial resolution... [more] MBE2015-25
pp.1-6
CAS, CS 2015-02-27
13:30		 Tottori Tottori University In CT image system,basic research on the evaluation method
Yoshinori Takehana, Shingo Ohmoto (Tottori Univ.), Kazusiro Sawa, Tadamasa Ueyama (Tottori Central PH.), Satoru Kishida (Tottori Univ.) CAS2014-137 CS2014-109		 In recent years,IR method showing the non-linear behavior is used in the CT diagnosis. Evaluation method of the filter f... [more] CAS2014-137 CS2014-109
pp.95-100
MI 2012-01-19
11:20		 Okinawa   Automatic segmentation of pulmonary nodules on CT images considering visual characteristics
Hideki Tamura, Rie Tachibana (Oshima NCMT), Yasushi Hirano, Rui Xu, Shoji Kido (Yamaguchi Univ.) MI2011-106		 Radiologists recognize pulmonary nodules on CT images with graphical information from the visual sense. So, in this pape... [more] MI2011-106
pp.159-163
MBE, NC
(Joint)		 2005-12-09
14:40		 Aichi   Performance comparison of autonomous mobile robot controllers focused on the difference of neural network architecture
Makoto Motoki (Nagoya Institute of Technology), Seiichi Koakutsu, Hironori Hirata (Chiba Univ.) 		In this article, we report the experimental results of performance comparison of autonomous mobile robot controllers foc... [more] NC2005-85
pp.25-30
 Results 1 - 6 of 6  /   
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