Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Tomoyuki Kimoto"'
Autor:
Jun Sonoda, Tomoyuki Kimoto
Publikováno v:
2018 Asia-Pacific Microwave Conference (APMC).
We have developed an identification method of an underground object form a ground penetrating radar (GPR) image by the deep neural network. In this study, in order to automatically detect an underground object from the GPR image by the DNN, we have g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f00363b34416701cbd2822062ac8d0
https://doi.org/10.23919/apmc.2018.8617556
https://doi.org/10.23919/apmc.2018.8617556
Publikováno v:
Journal of the Physical Society of Japan. 87:054004
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28963f21ec0b6ec77bb1ba1ad3295510
https://doi.org/10.7566/jpsj.87.054004
https://doi.org/10.7566/jpsj.87.054004
Publikováno v:
Journal of the Physical Society of Japan. 86(3):034001-034001-26
本文データの著作権は一般社団法人日本物理学会(The Physical Society of Japan)が保有する。
We analyze the structure of attractors in the classical XY model with an associative-memory-type interaction by the statistical m
We analyze the structure of attractors in the classical XY model with an associative-memory-type interaction by the statistical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a7864eb3d6f3f295ca8bb198763284a
http://hdl.handle.net/10935/4565
http://hdl.handle.net/10935/4565
Publikováno v:
The Brain & Neural Networks. 8:86-93
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd678da5608ebdb2238144219f2c71ed
https://doi.org/10.3902/jnns.8.86
https://doi.org/10.3902/jnns.8.86
Publikováno v:
Journal of Physics A: Mathematical and General. 32:5551-5562
A neural network with correlated attractors ala Griniasty et al (1993 Conversion of temporal correlations between stimuli to spatial correlations between attractors Neural Comp. 5 1-17) is studied for a nonmonotonic response function in the cases of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2402119b990444445a26a8f546ae298
https://doi.org/10.1088/0305-4470/32/30/303
https://doi.org/10.1088/0305-4470/32/30/303
Publikováno v:
Journal of the Physical Society of Japan. 84:058001
XY Model with the Same Infinite-Range Interaction in Statics” [J. Phys. Soc. Jpn. 84, 033001 (2015)] Tatsuya Uezu1+, Tomoyuki Kimoto2, Shuji Kiyokawa3, and Masato Okada4,5 1Graduate School of Sciences and Humanities, Nara Women’s University, Nara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e2fe7969fbe1b149e508cac97347d68
https://doi.org/10.7566/jpsj.84.058001
https://doi.org/10.7566/jpsj.84.058001
Autor:
Tomoyuki Kimoto, Masato Okada
Publikováno v:
Biological cybernetics. 90(4)
Analyzing the coexistence of memory patterns and mixed states gives important information for constructing a model for the face responsive neurons of the monkey inferior-temporal cortex. We analyzed whether the memory patterns coexist with mixed stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2273683909fc7f1a217c7fa2a234be7e
https://pubmed.ncbi.nlm.nih.gov/15085342
https://pubmed.ncbi.nlm.nih.gov/15085342
Publikováno v:
Physical review. E, Statistical, nonlinear, and soft matter physics. 68(3 Pt 1)
In the development of the brain, it is known that synapses are pruned following over-growth. This pruning following over-growth seems to be a universal phenomenon that occurs in almost all areas -- visual cortex, motor area, association area, and so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf62591482ddd1dba7c390aefabaf12c
https://pubmed.ncbi.nlm.nih.gov/14524806
https://pubmed.ncbi.nlm.nih.gov/14524806
Autor:
Tomoyuki Kimoto, Masato Okada
We investigated the properties of mixed states in a sparsely encoded associative memory model with a structural learning method. When mixed states are made of s memory patterns, s types of mixed states, which become equilibrium states of the model, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d627d1a5727da7cb0dbae577450cc634
http://arxiv.org/abs/cond-mat/0206559
http://arxiv.org/abs/cond-mat/0206559
Autor:
Tomoyuki Kimoto, Masato Okada
In the present paper, we analyze symmetric mixed states corresponding to the so-called concept formation on a sparsely encoded associative memory model with 0-1 neurons. Three types of mixed states, OR, AND and a majority decision mixed state are des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4319050e1e9ad24cf015a72268aea414
http://arxiv.org/abs/cond-mat/9911187
http://arxiv.org/abs/cond-mat/9911187