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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2021-12-18 10:40 |
Oita | J:COM Horuto Hall OITA | Optimization and FAGA based implementation of digital spike maps Tomoki Harada, Toshimichi Saito (HU)  NLP2021-58 |
This paper studies optimization and FPGA based implementation of digital spike maps. First, the dynamics of spike-tra... [more] |
NLP2021-58 pp.67-71 |
| CCS | 2021-11-18 13:00 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Making Simple Music from Elementary Cellular Automata Wataru Kojima, Toshimichi Saito (HU) CCS2021-18 |
Elementary cellular automata (ECAs) are simple digital dynamical systems in which time, space, and state are all discret... [more] | CCS2021-18 pp.7-10 |
| CCS | 2021-11-18 13:25 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Basic dynamics analysis of coupled digital spike maps Yuken Kijima, Toshimichi Saito (HU) CCS2021-19 |
The digital spike maps (Dmaps) are digital dynamical systems defined on a set of points and exhibit periodic orbits. Th... [more] |
CCS2021-19 pp.11-15 |
| CCS | 2021-11-18 13:50 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
On a biobjective optimization problem in binary associative memories Kento Saka, Toshimichi Saito (HU) CCS2021-20 |
This paper considers a biobjective optimization problem in binary associative memories characterized by ternary connecti... [more] | CCS2021-20 pp.16-19 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 10:50 |
Online | Online | Classification of binary data based on binary neural networks Kento Saka, Tomoyuki Togawa, Toshimichi Saito (HU) NC2020-8 |
This paper presents a novel application of binary neural networks to clustering of data sets. The network characterized... [more] |
NC2020-8 pp.1-4 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 11:15 |
Online | Online | Dynamic binary neural networks with time-variant parameters Takumi Suzuki, Shota Anzai, Toshimichi Saito (HU) NC2020-9 |
This paper studies a three-layer dynamic binary neural network with time-variant parameters and its application. The net... [more] | NC2020-9 pp.5-8 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 09:00 |
Online | Online | Analysis of digital logistic maps based on simple feature quantities Yuken Kijima, Yuya Sawano, Toshimichi Saito (HU) CAS2020-11 NLP2020-32 |
Discretize the logistic map on a set of points, we obtain the digital logistic map (DLM). The DLM cannot generate chaos... [more] |
CAS2020-11 NLP2020-32 pp.1-4 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 09:25 |
Online | Online | Analysis of simple cellular automata for music signal generation Hotaka Udagawa, Toshimichi Saito (HU) CAS2020-12 NLP2020-33 |
The elementary cellular automata (ECAs) are a digital dynamical system in which time, space and states are all discrete.... [more] | CAS2020-12 NLP2020-33 pp.5-8 |
| MBE, NC, NLP (Joint) |
2018-01-27 11:20 |
Fukuoka | Kyushu Institute of Technology | Stability and periodic orbits in dynamic binary neural newtorks Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP2017-97 |
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] | NLP2017-97 pp.59-62 |
| NLP | 2006-03-20 15:45 |
Tokyo | Hosei Univ.(Ichigaya Campus) | SOM parallelized by ART and its applications Tetsunari Oshime, Takeshi Ehara, Toshimichi Saito, Hiroyuki Torikai (HU) |
In this paper we consider a learning algorithm of paralleled growing SOM and its application to TSP. First, as basic to ... [more] | NLP2005-147 pp.59-64 |
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