@inproceedings{oai:iwate-u.repo.nii.ac.jp:00014476,
 author = {YOSHIDA, Hitoaki and SASAKI, Mitsuaki and MURAKAMI, Takeshi},
 book = {The 34th JSTE Tohoku Section Cooference, Iwate University},
 month = {Nov},
 note = {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.},
 pages = {57--58},
 title = {Implementation of Chaos Neural Network which Generates Multi-Subseries with Different Periods},
 year = {2016}
}