| 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 |
Study on Properties of Periodic Chaos and Controlling Method of Islands in Chaos Neural Network Outputs |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
periodic chaos |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
chaos neural network |
| 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
KAWAMURA, Satoshi
|
| 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 Conference, Iwate University
p. 59-60,
発行日 2016-11-27
|
| Abstract |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The properties of periodic chaos from CNN outputs changing the number of islands have been studied in detail. As the result of NIST SP800-22 tests the pseudo-random number from periodic chaos should not be used for security system. The correlation coefficient between subseries is normally negligible (<0.01), because the 2 subseries are independent. Periodic chaos, however, has only 2 modes, (i) two subseries simultaneously visit the same island (plus correlation), (ii) both series singly visit the other island (negative correlation). In this system only plus correlation is observed. Therefore periodic chaos can be numerically detected by correlation coefficient, so that periodic chaos is removed easily for a security system. |
| 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-p59-60 (190.8 kB)
