| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2017-12-22 |
| タイトル |
|
|
タイトル |
Implementation of Chaos Neural Network which Generates Multi-Subseries with Different Periods |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
chaos |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
neural network |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
multi-subseries |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
pseudo random number |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
YOSHIDA, Hitoaki
SASAKI, Mitsuaki
MURAKAMI, Takeshi
|
| 著者(機関) |
|
|
|
Faculty of Education, Iwate University |
| 登録日 |
|
|
日付 |
2017-12-22 |
| 書誌情報 |
The 34th JSTE Tohoku Section Cooference, Iwate University
p. 57-58,
発行日 2016-11-27
|
| Abstract |
|
|
内容記述タイプ |
Other |
|
内容記述 |
A chaos neural network (B-6nn) which generates three independent subseries has been implemented. The sub-series afford different chaos orbits, respectively. The results of NIST SP800-22 tests also have been fine, if pseudo-random numbers are extracted from the lower-24-bit of an output in B-6nn. The whole period of outputs of B-6nn has been estimated ca. 1.58×10 22. Compared with the whole period of the conventional chaos neural network (C-4nn) which consists of 4 neurons 10 16-10 18, the whole period of B-6nn has considerably improved. The method will be applied to multi-subseries more than three subseries in future work. |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
Proceedings-of-34th JSTETSC-p57-58 (247.5 kB)
